Human Language Sentences – Basic Parse Trees, X-Bar Theory & Ambiguity — Linguistics 101

{{unknown}}A short introduction to modern grammars of natural language. Use the fundamentals of generative grammar to learn about syntax (the grammar & rules of sentences). Follow along as I work through the structure of a simple sentence, building a parse Discover A Lot More

6 – 3 – Conditional Random Fields- Probabilistic Graphical Models – Professor Daphne Koller

If you want Open Course Video Playlist, welcome to: http://opencourseonline.com/playlist If you are interest on more free online course info, welcome to: http://opencourseonline.com/ Professor Daphne Koller is offering a free online course on Probabilistic Discover A Lot More

Naive Bayes Classifier Tutorial | Naive Bayes Classifier in R | Naive Bayes Classifier Example

Who can take up Data Science?

Watch sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=naive-bayes-classifier-15 Data science is the study of the generalizable extraction of knowledge from data, yet the key word is Discover A Lot More

4 – 1 – Introduction to N-grams- Stanford NLP – Professor Dan Jurafsky & Chris Manning

If you are interest on more free online course info, welcome to: http://opencourseonline.com/ Professor Dan Jurafsky & Chris Manning are offering a free online course on Natural Language Processing starting in March 19, 2012. http://www.nlp-class.org/ Offered Discover A Lot More

You’re Not Good Enough – NLP Coaching Session with Steve Andreas

{{unknown}}Get the full DVD here: http://j.mp/96vW9Z A. was incongruent about telling people how much she charged for her biofeedback sessions, and often gave sessions for half-price or free. Underlying her incongruence was an internal voice that said, Youre Discover A Lot More

Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text | Ebook

{{unknown}}Get your free audio book: http://rswp.us/f/b015qvqh0o this pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: Discover A Lot More