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Antonin Scalia - Text And Intent
 
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Judge Scalia talks about key elements of judicial interpretation. http://www.LibertyPen.com
Views: 15264 LibertyPen
Interpretation of Expository or Literary Text
 
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✅ SUBSCRIBE: https://goo.gl/tYpMcp 👍 Visit our website for help on any subject or test! https://goo.gl/AsjYfS Get help with your interpretation of text. Review what expository and literary texts are and what your interpretation should do. Mometrix Academy is the world's most comprehensive test preparation company. This channel will provide you with videos that will help you learn about many different subjects. ►Mometrix Homepage: http://www.mometrix.com ►Academy Homepage: https://www.mometrix.com/academy/ ►Mometrix Flashcards: http://www.flashcardsecrets.com/ ►Follow Mometrix Academy on Pinterest: https://www.pinterest.com/mometrixacademy/ ►Visit: http://www.mometrix.com/academy/interpretation-of-expository-or-literary-text/ Skills in Reasoning: ►Identifying a Logical Conclusion https://youtu.be/Se4_h8PoWTs ►Inference https://youtu.be/WDnLIir3yHQ ►Predictions https://youtu.be/ErnnBvjBhtA ►Purpose of the Author https://youtu.be/_1bpAvk6tBQ ►Determining Word Meanings https://youtu.be/z0yBPZqExjI ►Multiple Meaning Words https://youtu.be/G3YExcf99T8 ►Point of View https://youtu.be/f4g4_W28KqE ►Cause and Effect https://youtu.be/pPKI_mHh5KY ►Rhetorical Strategy of Cause and Effect Analysis https://youtu.be/1-jXQqPlafA ►Different Perspectives from Different Authors https://youtu.be/AngDVAvKU68 ►Author’s Position https://youtu.be/zZQFwGcUEww
Views: 14018 Mometrix Academy
Arthur Aza Berger: Text interpretation with methodologies and learning games
 
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Arthur Aza Berger Professor Emeritus of the San Francisco University has visited the BSU and delivered a lecture on "Text interpretation with methodologies and learning games".
HIDDEN TEACHINGS of the Bible That Explain Manifestation, Consciousness & Oneness (POWERFUL Info!)
 
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The hidden teachings of the bible that explain manifestation consciousness & oneness ✅FREE GIFTS✅ 2 FREE DOWNLOADS for New Members of My Website! ➡ https://bit.ly/2ytEHhC ✅ These are the hidden teachings which Jesus spoke and Didymus Judas Thomas wrote down (known as The Gospel of Thomas). Within these teachings from Jesus, it explains manifestation, consciousness and oneness. Religion has their own explanation for leaving these secret sayings out of the bible. However, if this knowledge had been shared early on, our entire history may have changed. The sayings themselves are not the secret of these hidden teachings; the secret lies in their interpretation. Gregg Braden offers powerful information as he discusses what was eliminated from the bible by our western religion and how to use it to manifest what you want. Gregg Braden The Language Of The Divine Matrix full video: https://www.youtube.com/watch?v=gKxl91U3ufI Law of Attraction does not bring positive results without positive beliefs and positive patterns. These principles are the secret formula to follow if you wish to align with your desires the way countless others have. You are a limitless creator. Learn how to break free from self-imposed limitations and live the life you desire! Click Here for the LOA Accelerator Flash Discount Price ➡ http://bit.ly/2Hh1kIH *Video Production/Content Copyrighted by Your Youniverse Channel ★ 50 Law of Attraction Exercises, Tips & Tricks to Hack Your Mind & Increase Your Manifestation Power➜http://amzn.to/2hV9o91 Please subscribe to my channel for more videos on the law of attraction and the secret to mastering your mind. https://www.youtube.com/c/youryouniversechannel?sub_confirmation=1 Purchase my best selling book here: ► Self-Maid - A maid-turned-doctor explains how to deliberately create your life using Universal Laws and the law of attraction → http://www.amazon.com/Self-Maid-ebook/dp/B01A4E0W7W My website and social media links: https://www.TheScienceofDeliberateCreation.com https://www.LawofAttractionAccelerator.com https://www.paypal.me/YourYouniverse (Donations/Support) https://sellfy.com/youryouniverse (Meditations) https://twitter.com/loa_youniverse https://www.facebook.com/lawofattractiontoo https://www.instagram.com/your.youniverse/ http://www.amazon.com/-/e/B018ECSHS2 https://plus.google.com/u/0/+YourYouniverseChannel https://www.pinterest.com/youryouniverse/ More law of attraction and mind secret videos: Guided Meditation for RAISING Your VIBRATION and CLEARING Negative Energy (Life Changing!) https://youtu.be/k6Xv_yUpvag SHIFT From WANTING to Having! Give Yourself PERMISSION to HAVE the Things You Want! https://youtu.be/_4tQf3OApUg What SUCCESSFUL People Do to CREATE Their REALITY! + 3 Tips to THINK HOW THEY THINK https://youtu.be/KHtmXM9t-go How to Use Brainwave ENTRAINMENT to SYNCHRONIZE Your VIBRATION & ATTRACT What You WANT! https://youtu.be/c4wfpYmXEZs How to INCREASE the PROBABILITY of CREATING What You WANT! Law of Attraction Exercise https://youtu.be/5p71SdrgIm8 How to MAKE Your DREAMS BECOME Your REALITY - 4 Simple Steps to MANIFEST WHAT YOU WANT!https://youtu.be/uzSABYV4tJs 8 Ways to Get INTUITIVE Direction from Your HIGHER SELF - Achieve More Happiness Success Abundance https://youtu.be/XrFcDKW3cog Turn Your Brain Into a CREATION MACHINE! 6 Steps to MANIFEST MORE of What You WANT! (Powerful!)https://youtu.be/qI4oOTW3gpI The Garden of Your Mind – Law of Attraction GUIDED MEDITATION (Plant the Seeds for WHAT YOU WANT!) https://youtu.be/s782CYQWZqw This How to START Your Day! Law of Attraction Morning ROUTINE to MANIFEST MORE of What YOU WANT! https://youtu.be/Pp2w_8sPFTs Three Ways to MASTER the Art of OBSERVATION! (Consciousness CREATES REALITY!) https://youtu.be/ehMERQN2TWg Law of Attraction | the secret | mind | powerful | key | success | life | training | coach | personal | business | speaker | development | inspiration | motivation | public speaking | leadership | marketing | management | coaching (industry) | sales | motivational | positive | entrepreneur | seminar | inspirational | new | 2018 | attract | create | manifest | the hidden teachings of the bible | jesus | manifestation | consciousness | oneness | powerful information | how to manifest what you want | this can change everything | the gospel of Thomas | awakening | enlightenment
Views: 3820322 Your Youniverse
From Text to Interpretation: How the Bible Came to Mean Some of the Strange Things It Means
 
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(Visit: http://www.uctv.tv/) James Kugel, director of the Institute for the History of the Jewish Bible at Bar Ilan University, argues that the Hebrew Bible was, from the beginning, the Interpreted Bible. In the third and second centuries B.C.E. -- well before the last books of the Bible were written -- groups of interpreters were puzzling over the stories of Abraham and Sarah, Jacob and Esau, and other ancient figures. Their interpretations were often fanciful, and sometimes wildly inventive, but their grasp of the very idea of the Bible is still with us and continues to influence today's readers. Series: "Burke Lectureship on Religion & Society" [6/2013] [Humanities] [Show ID: 24917]
Text Analytics - Ep. 25 (Deep Learning SIMPLIFIED)
 
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Unstructured textual data is ubiquitous, but standard Natural Language Processing (NLP) techniques are often insufficient tools to properly analyze this data. Deep learning has the potential to improve these techniques and revolutionize the field of text analytics. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv Some of the key tools of NLP are lemmatization, named entity recognition, POS tagging, syntactic parsing, fact extraction, sentiment analysis, and machine translation. NLP tools typically model the probability that a language component (such as a word, phrase, or fact) will occur in a specific context. An example is the trigram model, which estimates the likelihood that three words will occur in a corpus. While these models can be useful, they have some limitations. Language is subjective, and the same words can convey completely different meanings. Sometimes even synonyms can differ in their precise connotation. NLP applications require manual curation, and this labor contributes to variable quality and consistency. Deep Learning can be used to overcome some of the limitations of NLP. Unlike traditional methods, Deep Learning does not use the components of natural language directly. Rather, a deep learning approach starts by intelligently mapping each language component to a vector. One particular way to vectorize a word is the “one-hot” representation. Each slot of the vector is a 0 or 1. However, one-hot vectors are extremely big. For example, the Google 1T corpus has a vocabulary with over 13 million words. One-hot vectors are often used alongside methods that support dimensionality reduction like the continuous bag of words model (CBOW). The CBOW model attempts to predict some word “w” by examining the set of words that surround it. A shallow neural net of three layers can be used for this task, with the input layer containing one-hot vectors of the surrounding words, and the output layer firing the prediction of the target word. The skip-gram model performs the reverse task by using the target to predict the surrounding words. In this case, the hidden layer will require fewer nodes since only the target node is used as input. Thus the activations of the hidden layer can be used as a substitute for the target word’s vector. Two popular tools: Word2Vec: https://code.google.com/archive/p/word2vec/ Glove: http://nlp.stanford.edu/projects/glove/ Word vectors can be used as inputs to a deep neural network in applications like syntactic parsing, machine translation, and sentiment analysis. Syntactic parsing can be performed with a recursive neural tensor network, or RNTN. An RNTN consists of a root node and two leaf nodes in a tree structure. Two words are placed into the net as input, with each leaf node receiving one word. The leaf nodes pass these to the root, which processes them and forms an intermediate parse. This process is repeated recursively until every word of the sentence has been input into the net. In practice, the recursion tends to be much more complicated since the RNTN will analyze all possible sub-parses, rather than just the next word in the sentence. As a result, the deep net would be able to analyze and score every possible syntactic parse. Recurrent nets are a powerful tool for machine translation. These nets work by reading in a sequence of inputs along with a time delay, and producing a sequence of outputs. With enough training, these nets can learn the inherent syntactic and semantic relationships of corpora spanning several human languages. As a result, they can properly map a sequence of words in one language to the proper sequence in another language. Richard Socher’s Ph.D. thesis included work on the sentiment analysis problem using an RNTN. He introduced the notion that sentiment, like syntax, is hierarchical in nature. This makes intuitive sense, since misplacing a single word can sometimes change the meaning of a sentence. Consider the following sentence, which has been adapted from his thesis: “He turned around a team otherwise known for overall bad temperament” In the above example, there are many words with negative sentiment, but the term “turned around” changes the entire sentiment of the sentence from negative to positive. A traditional sentiment analyzer would probably label the sentence as negative given the number of negative terms. However, a well-trained RNTN would be able to interpret the deep structure of the sentence and properly label it as positive. Credits Nickey Pickorita (YouTube art) - https://www.upwork.com/freelancers/~0147b8991909b20fca Isabel Descutner (Voice) - https://www.youtube.com/user/IsabelDescutner Dan Partynski (Copy Editing) - https://www.linkedin.com/in/danielpartynski Marek Scibior (Prezi creator, Illustrator) - http://brawuroweprezentacje.pl/ Jagannath Rajagopal (Creator, Producer and Director) - https://ca.linkedin.com/in/jagannathrajagopal
Views: 40949 DeepLearning.TV
The Epic of Gilgamesh, Lecture by Andrew George
 
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Andrew George, Professor of Babylonian, School of Oriental and African Studies (SOAS), University of London The Epic of Gilgamesh is a 4,000-year-old Mesopotamian poem about a hero who embarks on an arduous quest to find the secret of immortality. Preserved on clay tablets in cuneiform script, it is generally considered to be the earliest great work of literature to survive from the ancient world. In this illustrated lecture, Andrew George, author of a prize-winning translation of the Epic of Gilgamesh, explores four themes related to this Babylonian masterpiece: the archaeology of the poem’s recovery, the reconstruction of its text, the story it tells, and its messages about life and death. Presented in collaboration with the Departments of Near Eastern Languages & Civilizations and Comparative Literature, with the support of the Provostial Fund for the Arts and Humanities, Harvard University
Views: 309859 Semitic Museum
Noel Leu. Lecture "The Power of Typography: How Text Controls Our Impressions"
 
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Noel Leu, a master of laconic, high quality Swiss design, will explain how we judge books by their covers and signs by their fonts. With the help of graphic design, you can not only add new meanings to a message, but also drastically change the impression the viewer gets, even just through the design of lettering. How does font selection change the perception of a message? Why is the surrounding context always important for typography? Noel Leu, a co-founder of the Swiss type foundry Grilli Type, will speak about the place of typography in visual communication and the search for inspiration on city streets, and will share some examples from his design practice. Noel Leu is a Swiss graphic designer and co-founder of the type foundry Grilli Type, as well as the independent publishing house Edition Grilli. Grilli Type is an independent Swiss type foundry that offers original retail and custom typefaces. They are famous for high quality products with a contemporary aesthetic in the Swiss tradition. This tradition is reflected in both the visual and technical standards of their fonts and service. Leu is a nominee and winner of numerous design awards, including the Swiss Federal Design Award, ADC Young Guns Award.
How to Write a Critique Essay (An Evaluation Essay_
 
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Defines the five common parts of a critique essay and provides a formula for completing each part.
Views: 286263 David Taylor
Text Dependent Analysis: Nonfiction
 
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Houghton Mifflin Harcourt Program Consultant Kylene Beers discusses how to analyze a nonfiction text in this excerpt from one of a series of on-demand, point-of-use professional development podcasts available in Journeys Common Core, Grades K-6, Collections, Grades 6-12, and HMH Professional Development Services courses. Register for free 120-day access to more Professional Development podcasts videos in Journeys Common Core and Collections by going to hmhco.com, selecting your program, and clicking Sample Now. ------------------------------------------------------------------------------------------------------ Subscribe to our YouTube Channel: http://spr.ly/6005B0myN Like us on Facebook: http://spr.ly/6001B0mJT Follow us on Twitter: http://spr.ly/6007B0mJc Follow us on Pinterest: http://spr.ly/6005B0mKz Check out our Website: http://spr.ly/6004B0mKp -----------------------------------------------------------------------------------------------------------
Biblical Series I: Introduction to the Idea of God
 
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Lecture I in my Psychological Significance of the Biblical Stories series from May 16th at Isabel Bader Theatre in Toronto. In this lecture, I describe what I consider to be the idea of God, which is at least partly the notion of sovereignty and power, divorced from any concrete sovereign or particular, individual person of power. I also suggest that God, as Father, is something akin to the spirit or pattern inherent in the human hierarchy of authority, which is based in turn on the dominance hierarchies characterizing animals. Q & A Starts: 1:57:25 Patreon: https://www.patreon.com/jordanbpeterson Self Authoring: http://selfauthoring.com/ Jordan Peterson Website: http://jordanbpeterson.com/ Podcast: http://jordanbpeterson.com/jordan-b-p... Reading List: http://jordanbpeterson.com/2017/03/gr... Twitter: https://twitter.com/jordanbpeterson Producer Credit and thanks to the following $200/month Patreon supporters. Without such support, this series would not have happened: Adam Clarke, Alexander Meckhai’el Beraeros, Andy Baker, Arden C. Armstrong, Badr Amari, BC, Ben Baker, Benjamin Cracknell, Brandon Yates, Chad Grills, Chris Martakis, Christopher Ballew, Craig Morrison, Daljeet Singh, Damian Fink, Dan Gaylinn, Daren Connel, David Johnson, David Tien, Donald Mitchell, Eleftheria Libertatem, Enrico Lejaru, George Diaz, GeorgeB, Holly Lindquist, Ian Trick, James Bradley, James N. Daniel, III, Jan Schanek, Jason R. Ferenc, Jesse Michalak, Joe Cairns, Joel Kurth, John Woolley, Johnny Vinje, Julie Byrne, Keith Jones, Kevin Fallon, Kevin Patrick McSurdy, Kevin Van Eekeren, Kristina Ripka, Louise Parberry, Matt Karamazov, Matt Sattler, Mayor Berkowitz , Michael Thiele, Nathan Claus, Nick Swenson , Patricia Newman, Pisit Mongkolsiriwattana, Robb Kelley, Robin Otto, Ryan Kane, Sabish Balan, Salman Alsabah, Scott Carter, Sean C., Sean Magin, Sebastian Thaci, Shiqi Hu, Soheil Daftarian, Srdan Pavlovic, Starting Ideas, Too Analytical, Trey McLemore, William Wilkinson, Yazz Troche, Zachary Vader
Views: 3086446 Jordan B Peterson
Lecture 50 — Contextual Text Mining  Contextual Probabilistic Latent Semantic Analysis | UIUC
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Machine Learning Lecture 2: Sentiment Analysis (text classification)
 
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In this video we work on an actual sentiment analysis dataset (which is an instance of text classification), for which I also provide Python code (see below). The approach is very similar to something that is commonly called a Naive Bayes Classifier. Website associated with this video: http://karpathy.ca/mlsite/lecture2.php
Views: 50678 MLexplained
Antonin Scalia - Constitutional Interpretation
 
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March 14, 2005 - Justice Antonin Scalia spoke about issues involved in interpreting the Constitution, judicial philosophies, and the decision-making process at the Supreme Court. He also referred to several cases already decided by the court and the foundations of his opinions.
Views: 36189 TJ Singh
Interpreting the text-bridging the gap Part 2
 
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A lecture on how to interpret the text.
Views: 10 Robert White
Lecture 30 — Text Clustering  Motivation | UIUC
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
16. The Social Permeability of Reader and Text
 
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Introduction to Theory of Literature (ENGL 300) In this first lecture on the theory of literature in social contexts, Professor Paul Fry examines the work of Mikhail Bakhtin and Hans Robert Jauss. The relation of their writing to formalist theory and the work of Barthes and Foucault is articulated. The dimensions of Bakhtin's heteroglossia, along with the idea of common language, are explored in detail through a close reading of the first sentence of Jane Austin's Pride and Prejudice. Jauss's study of the history of reception is explicated with reference to Borges' "Pierre Menard, Author of the Quixote" and the Broadway revival of Damn Yankees. 00:00 - Chapter 1. Language in Social Context 09:32 - Chapter 2. Bakhtin, Jauss, and Formalism 22:01 - Chapter 3. Bakhtin and Authority 28:36 - Chapter 4. Pride and Prejudice 35:52 - Chapter 5. Common Language 40:02 - Chapter 6. Jauss and the History of Reception Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses This course was recorded in Spring 2009.
Views: 35190 YaleCourses
Meaning of Skewness l PDF Files about Skewness and the Lecture Text & Example are in the Description
 
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PDF File about Skewness: https://drive.google.com/open?id=1xPt7W8pouBKqoQLnOs7DAhFoofDeFtmY PDF File of the Lecture Text & Example: https://drive.google.com/open?id=1Gqxbg6v3iHPO0LXdVspDfz2UVhYLN5Pb If you like the video please like & share the video & do subscribe to this channel for more video. Thank you for watching the video.
Lecture 64 — Text Clustering | NLP | University of Michigan
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
 
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Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 145948 YaleUniversity
Interpreting the text-bridging the gap Part 1
 
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A lecture demonstrating the challenges and opportunities of interpreting the text.
Views: 14 Robert White
Lecture 34 — Text Clustering Similarity based Approaches | UIUC
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Text Mining Lecture 9
 
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Text Mining Lecture 9 Topic 1 : Accounting Variables, deception and a bag of words assessing the tools of fraud detection. 1:57 Introduction 05:39 Textual analysis of corporate disclosures and fraud detection 07:25 Data Generated language tool 19:55 Clarification Rates 27:15 Association of various methods with fraudulent MD&A sections in 10-k reports 37:48 Conclusion Topic 2: The Information content of Forward - Looking Statements in Corporate Filings- A Naive Bayesian Machine Learning Approach 40:53 Major Contributions of the Paper 42:24 Forward- Looking Statement (FLS) in MD&A 44:12 Literature Review 45:42 Information Content of MD&A 46:47 MD&A Tone and the Accrual Anomaly 47:17 Why Naive Bayesian Algorithm? 53:32 Data Preparation 55:29 Computation 57:57 Descriptive Statistics 1:10:05 Aggregate Tone 1:20:46 FLS Tone Based on the Dictionary Approach 1:22:41 Conclusion 1:23:23 Coding Topic 3: Naive Bayes and Text Classification 1:42:29 Introduction to Naive Bayes from Book “Data Smart” 2:02:04 Special Considerations 2:09:36 coding
Ancient Sumerian Cuneiform Tablets Tell Us Everything We Need to Know [FULL VIDEO]
 
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It is fascinating to realize that it may be possible to know more about the 6,000-year-old civilization of Sumeria than we may ever know about the more recent Egyptians, Greeks and Romans. The explanation lies in the Sumerian cuneiform writing. Whereas the papyrus of other elder empires disintegrated over time or was destroyed by the fires of war, cuneiform was etched onto wet clay tablets with a stylus creating a wedge-shaped script. These tablets were then dried, baked and kept in large libraries. About 500,000 of these clay tablets have now been found and have provided modern researchers with invaluable knowledge of the Sumerians. The knowledge of Sumeria was brought to Egypt by the Biblical Patriarch Abraham by means of cleverly coded knowledge found within the Torah and other old Hebraic texts such as the Sefer Yezirah (Book of Creation) and the Sefer HaZohar (Book of Light). These books predate the Talmud, a compilation of older Jewish laws and traditions first written in the 5th century A. D. and were produced centuries before the time of Jesus. According to the Book of Light, “mysteries of wisdom” were given to Adam by God while still in the fabled Garden of Eden. These elder secrets were then passed on through Adam’s sons to Noah on to Abraham long before the Hebrews existed as a distinct people. According to the Bible, Abraham was a Sumerian originating from Ur of Chaldea, the ancient term for Iraq.
What makes a good life? Lessons from the longest study on happiness | Robert Waldinger
 
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What keeps us happy and healthy as we go through life? If you think it's fame and money, you're not alone – but, according to psychiatrist Robert Waldinger, you're mistaken. As the director of 75-year-old study on adult development, Waldinger has unprecedented access to data on true happiness and satisfaction. In this talk, he shares three important lessons learned from the study as well as some practical, old-as-the-hills wisdom on how to build a fulfilling, long life. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 11194093 TED
Hindu Scriptures, Vedas, Upanishads and Gita | Talk by Jay Lakhani - Hindu Academy London
 
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Visit Http://www.hindu-academy.com for more information. Visit http://www.hindu-academy.com for more interesting information on Hinduism by Jay Lakhani. This is a talk on Shruti's, Scriptures of authority on Hinduism, comprising of Veda's, Upanishad's and Gita. Veda's are living scriptures and modern Rishi's like Vivekanada offer contemporary Veda's. The talk was held at Sindhi Centre London. Hindu Scriptures, Vedas, Upanishads and Gita | Talk by Jay Lakhani - Hindu Academy London Related Search Phrases: Vedas explained,vedas meaning,Vedas,Rig Veda,samaveda,Atharvaveda,Vajurveda,yajurveda,veda recital,hindu scripture,Vedas (Religious Text),hindu religion,hinduism,shruti,smruti,vivekananda,ramkrishna,upanishads,gita,bhagwad gita,rishi,humanism,scripture of authority,spiritualism,jay lakhani,hindu academy,london,ted speaker,bbc hinduism,hinduism history Please Like and Share our videos and subscribe to our YouTube Channel : https://www.youtube.com/user/HinduAcademy You can also join the conversation on our social media channels: Facebook: https://www.facebook.com/hinduacademy/ Linkedin: http://www.linkedin.com/in/jay-lakhani-spiritual-humanism Join our Whatsapp Broadcast Group by sending a Whatsapp message to: +447717884792 -~-~~-~~~-~~-~- Please watch: "Is Atheism sin ?" https://www.youtube.com/edit?o=U&video_id=Rm96_nhij_A -~-~~-~~~-~~-~- #JayLakhani #HinduismExplained #HinduAcademy
Views: 218646 HinduAcademy
Lecture 8 — Text Similarity (Introduction) - Natural Language Processing | Michigan
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
My philosophy for a happy life | Sam Berns | TEDxMidAtlantic
 
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Never miss a talk! SUBSCRIBE to the TEDx channel: http://bit.ly/1FAg8hB Just before his passing on January 10, 2014, Sam Berns was a Junior at Foxboro High School in Foxboro, Massachusetts, where he achieved highest honors and was a percussion section leader in the high school marching band. He also achieved the rank of Eagle Scout in the Boy Scouts of America. Sam was diagnosed with Progeria, a rare, rapid aging disease, at the age of 2. He is featured in the Emmy award-winning documentary Life According to Sam, which premiered on HBO on October 21, 2013, 2 days before his 17th birthday. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 30898550 TEDx Talks
2018-10-21   Understanding the Meaning of a Text - Wk. 5
 
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There are passages in the Bible that are difficult to understand, like John 15:6. How do we avoid misinterpreting them? How can we interpret them properly? Join us as we discover how to properly understand the meaning of a Bible text.
The Long Road from Text to Meaning
 
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Google Tech Talks May 3, 2007 ABSTRACT Computers have given us a new way of thinking about language. Given a large sample of language, or corpus, and computational tools to process it, we can approach language as physicists approach forces and chemists approach chemicals. This approach is noteworthy for missing out what, from a language-user's point of view, is important about a piece of language: its meaning. I shall present this empiricist approach to the study of language and show how, as we develop accurate tools for lemmatisation, part-of-speech tagging and parsing, we move from the raw input -- a character stream -- to an analysis of that stream in increasingly rich terms: words, lemmas, grammatical structures, Fillmore-style frames. Each step on the journey builds on a large corpus accurately analysed at the previous levels. A distributional thesaurus provides generalisations about lexical behaviour which can then feed into an analysis at the ‘frames' level. The talk will be illustrated with work done within the ‘Sketch Engine' tool. For much NLP and linguistic theory, meaning is a given. Thus formal semantics assumes meanings for words, in order to address questions of how they combine, and WSD (word sense disambiguation) typically takes a set of meanings (as found in a dictionary) as a starting point and sets itself the challenge of identifying which meaning applies. But, since the birth of philosophy, meaning has been problematic. In our approach meaning is an eventual output of the research programme, not an input. Speaker: Adam Kilgarriff Adam Kilgarriff is a research scientist working at the intersection of computational linguistics, corpus linguistics, and dictionary-making. Following a PhD on "Polysemy" from Sussex University, he has worked at Longman Dictionaries, Oxford University Press, and the University of Brighton, and is now Director of two companies, Lexicography MasterClass (http://www.lexmasterclass.com) and Lexical Computing Ltd (http://www.sketchengine.co.uk/) which provide software, training and consultancy in the research areas. Google engEDU Speaker: Adam Kilgarriff
Views: 4041 GoogleTalksArchive
Salim Razı - Fallacies in the interpretation of text- matching software similarity reports
 
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Salim Razı Fallacies in the interpretation of text- matching software similarity reports
literary text analysis
 
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This project has been created with Explain Everything™ Interactive Whiteboard for iPad
Views: 273 Mel Mollick
BA English poem, Lec 1, Leisure BA Part 1 - BA English Book 1 Poem PU
 
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"BA English Poem 1 Leisure" Online lectures for BA English Part 1 by Mr.Shahid Bhatti. IMPORTANT: If you want one to one personalized coaching from Sir Shahid Bhatti, please call us at: 0300-8885650 You can also buy BA English notes from us In this video following sub topics have been taught: - Translation - Explanation For more videos of Shahid Bhatti visit https://www.ilmkidunya.com/study This online lectures series contains all course of BA Part 1 by renowned English teacher. The lectures are designed to make sure the students gets best understanding and can get highest marks in BA English. All these lectures are conducted in Urdu/English medium to facilitate Pakistani students.
Views: 103635 ilmkidunya
20. Dynamic Programming II: Text Justification, Blackjack
 
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MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 240369 MIT OpenCourseWare
Paraphrasing:  The Basic Steps
 
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It is a necessary academic skill to paraphrase ideas when writing and reading. This video gives two examples of how to paraphrase.
Views: 429005 Guy Stieglitz
2018 Graduate Lectures - Lauren Smelser White, Ph.D.
 
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This 2 part series of graduate lectures was presented on 2-23-18. Part 1 - Identifying the "Protestant Interpretation Problem": Sola Scriptura Hermeneutics from the Reformation Today Part 2 - Beyond the "Protestant Interpretation Problem": Resourcing the Body's Grace in Coming to Know the Text
How Donald Trump Answers A Question
 
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HELP ME MAKE MORE VIDEOS: http://www.patreon.com/nerdwriter VISIT WISECRACK HERE: http://bit.ly/1xPTaB7 TUMBLR: http://thenerdwriter.tumblr.com TWITTER: https://twitter.com/TheeNerdwriter Email me here: [email protected] SOURCES: Barton Swaim, “How Donald Trump’s language works for him” (via The Washington Post) September 15, 2015 https://www.washingtonpost.com/news/the-fix/wp/2015/09/15/how-trump-speak-has-pushed-the-donald-into-first-place/ Emily Atkin, “What Language Experts Find So Strange About Donald Trump” (via ThinkProgress) 2015 http://thinkprogress.org/politics/2015/09/15/3701215/donald-trump-talks-funny-2/ Matt Viser, “For presidential hopefuls, simpler language resonates” (via The Boston Globe) October 20, 2015 https://www.bostonglobe.com/news/politics/2015/10/20/donald-trump-and-ben-carson-speak-grade-school-level-that-today-voters-can-quickly-grasp/LUCBY6uwQAxiLvvXbVTSUN/story.html Jack Shafer, “Donald Trump Talks Like a Third-Grader” (via Politico) 2015 http://www.politico.com/magazine/story/2015/08/donald-trump-talks-like-a-third-grader-121340 ALL THE MUSIC COMES FROM HERE: https://soundcloud.com/bluewednesday
Views: 8136837 Nerdwriter1
What is Text Mining?
 
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An introduction to the basics of text and data mining. To learn more about text mining, view the video "How does Text Mining Work?" here: https://youtu.be/xxqrIZyKKuk
Views: 44045 Elsevier
Introduction to Text Analytics with R: VSM, LSA, & SVD
 
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This data science tutorial introduces the viewer to the exciting world of text analytics with R programming. As exemplified by the popularity of blogging and social media, textual data if far from dead – it is increasing exponentially! Not surprisingly, knowledge of text analytics is a critical skill for data scientists if this wealth of information is to be harvested and incorporated into data products. This data science training provides introductory coverage of the following tools and techniques: - Tokenization, stemming, and n-grams - The bag-of-words and vector space models - Feature engineering for textual data (e.g. cosine similarity between documents) - Feature extraction using singular value decomposition (SVD) - Training classification models using textual data - Evaluating accuracy of the trained classification models Part 7 of this video series includes specific coverage of: - The trade-offs of expanding the text analytics feature space with n-grams. - How bag-of-words representations map to the vector space model (VSM). - Usage of the dot product between document vectors as a proxy for correlation. - Latent semantic analysis (LSA) as a means to address the curse of dimensionality in text analytics. - How LSA is implemented using singular value decomposition (SVD). - Mapping new data into the lower dimensional SVD space. The data and R code used in this series is available via the public GitHub: https://github.com/datasciencedojo/In... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f5JVc0 See what our past attendees are saying here: https://hubs.ly/H0f5K6Q0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... Vimeo: https://vimeo.com/datasciencedojo
Views: 8979 Data Science Dojo
5 tips to improve your writing
 
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http://www.engvid.com/ Want to become a better writer? In this video, I will share five easy and quick tips that will improve writing in formal and academic settings. If you're in college or university or plan to study overseas, this video is for you! Watch the lesson, then take the quiz: http://www.engvid.com/5-tips-to-improve-your-writing/ Next, watch my Top 5 Writing Tips video: https://www.youtube.com/watch?v=xu2gm-Y4RXs
RRB Group D 2018 Exam Analysis | 20th September Shift 1 | Exam Review + Questions Asked
 
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Watch this video on RRB Group D Crash Course everyday @9:30 am from Monday - Saturday and get the most expected 1500 Questions that will sure short come in Railway Group D Exam. Excel in each section by studying with Abhijeet Sir / Shefali Ma'am for GA/GS, Utkarsh Sir for Maths & Sachin Modi Sir for Logical Reasoning. Only few Questions left, Do watch all the RRB Group D Crash Course Previous Classes to get the full knowledge. #rrb #groupd #crashcourse #testbook #1500left #countdown2rrb ~ Watch Videos on How to Crack RRB Group D, RRB ALP & RPF Exam: https://www.youtube.com/watch?v=Z8jWxLU33p4&list=PLPOW4yzC55NmT5g-3dVPHzMSJ8uSzvb33 ~ Click here to solve Railway Group D Free Tests now! - http://bit.ly/2GMZeke Moreover, visit Testbook Blog to find more such articles & boost your exam preparation. Stay tuned with Testbook’s YouTube channel and other socials (FB, Twitter, Instagram) to get instant updates on job notifications, current affairs, test series, free tests, recent exams and much more. Facebook - https://www.facebook.com/testbookdotcom/ Twitter - https://twitter.com/Testbookdotcom/ Instagram - https://www.instagram.com/testbookdotcom/ RAILWAY GROUP D RECRUITMENT 2018, GROUP D RECRUITMENT 2018, RAILWAY GROUP D BHARTI 2018, Railway Group D 62907 Vacancies 2018, Railway 2018, RRB, RRB Exam 2018, #RRB exam 2018, #GroupD 62907 Vacancies 2018, exam 2018, #Railway exam 2018 in hindi, #hubli railway Group D previous year paper in hindi, railway Guwahati paper in hindi, railway mumbai zone paper in hindi, railway kolkata paper in hindi, RAILWAY GROUP D RECRUITMENT 2018, GROUP D RECRUITMENT 2018, RAILWAY GROUP D BHARTI 2018, Railway Group D 62907 Vacancies 2018, Railway study materials, Railways Exam papers, Railways Exam 2018 Group D, RRB exam 2018, RRB Exam 2018, Science for railway group d, Railways previous year question paper in hindi, RRB Gk gs questions in hindi, railway previous year question, railway exam papers solve in hindi, chemistry for railway exam 2018, Railway Gk, railway gs, railway science, back year railway paper in hindi, railway online Coaching, railway preparation, Railways online Coaching, railway online preparation, Railways Exam syllabus in hindi, Science Questions in Hindi for railway exam 2018, biology for railway exam 2018 Group D, ALP, Technician Exam 2018, bio for railway, railway group d, railway Secunderabad, RAILWAY all zone paper in hindi, railway previous year questions in hindi, railway Group D previous year paper in hindi, railway group d previous year question paper in hindi, railway Mumbai, Mumbai zone paper in hindi, railway Hajipur paper, group d paper analysis in hindi, railway patna,, bhubaneswar group d exam 2018, Bilaspur, railway gkp paper analysis, Group D paper, Railway jaipur paper in hindi, railway group d Bilaspur previous year paper in hindi, Hajipur railway group-d paper, crash course, railway crash course, Download Testbook App - http://bit.ly/testbookmobileapp Download Current Affairs App - http://bit.ly/testbookCA
Views: 43081 Testbook.com
Netlytic Text Analysis Keywords (Part 1)
 
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A look at using Neltytic’s text analysis features. This tutorial covers analysis and visualizations for keyword. Information about using text analysis category features will be covered in Part 2. --------------------------------------------------------- Additional Resources List of Stop Words: https://code.google.com/p/stop-words/ --------------------------------------------------------- Works Cited Claude Monet. Haystack at sunset frosty winter. [Public Domain] via Wikimedia Commons. Retrieved from https://commons.wikimedia.org/wiki/File%3AMonet_haystacks-at-sunset-frosty-weather-1891_W1282.jpg TikiGiki. (2012). People Silhouette 1. Retrieved from https://openclipart.org/detail/173496… Tom Thomson. The Jack Pine [Public domain], via Wikimedia Commons. Retrieved from https://commons.wikimedia.org/wiki/File%3AThe_Jack_Pine%2C_by_Tom_Thomson.jpg Vincent van Gogh. Starry Night. [Public domain], via Wikimedia Commons. Retrieved from https://commons.wikimedia.org/wiki/File%3AVan_Gogh_-_Starry_Night_-_Google_Art_Project.jpg
Views: 3143 Netlytic
Cryptography lecture/tutorial: Substitution techniques for transforming plain text to cipher text
 
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In cryptography, there are two technique to convert plain text to cipher text for semester exams with notes 1 Substitution 2 transformation Substitution Cryptography technique methods 1 Caesar cipher cryptography substitution technique in this cryptography technique, the character of a plain text message is replaced by other characters like an alphabet three places down the line 2. Modified version of Caesar cipher substitution technique this is the more advanced version with the modification that letter of plain text can be changed to any number of the alphabet but after selecting the number it will remain constant 3. Monoalphabetic cipher cryptography technique In this substitution cryptography technique, now alphabet of plain text can be replaced by any other alphabet except itself 4. Homophonic substitution cipher cryptography technique this substitution cryptography technique is similar to monoalphabetic cipher except each word can be replaced by a set of alphabets 5. Polygram substitution cipher cryptography technique In this substitution technique group of words are replaced with another block of letters (no single letter is transferred group is transferred)
Views: 232 Sanjay Pathak
Text Interpretation
 
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Hey everyone! In this video I give you some interpretations and translations for what different texts might mean! Thanks for watching!! Twitter: @typarsons_ Intsagram: typarsons_ Tumblr: tycparsons
Views: 596 Ty Parsons
Neville Goddard audio text lecture: A Movement Of Mind
 
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Neville Goddard text lecture transcript read out
Views: 2984 MINDisLIFE
PART I Hamlet -  A critical study of text... a series of short lectures PART I
 
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A series of "edited" lectures which will help HSC students with HSC Advanced Module B... PART I is an introduction + 4 different interpretations of the play for you to consider
Views: 2041 mskrieger

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