A tutorial to build a Reinforcement Learning model.

This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.

Learn how to use math and science to solve everyday problems.

Measure angles, prove geometric theorems, and discover how to calculate areas and volumes in this interactive course!

MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity

Machine Learning in a company is 10% Data Science & 90% other challenges. It's VERY hard. Everything in this guide is ON POINT, and it's stuff you won't learn in an ML book "Best Practices of ML Engineering" This is a lifesaver #100DaysOfMLCode project h…

A well documented Jupyter notebook for learning how you could recognize Persian digits using CNNs. - GitHub - erfanMhi/Persian-Digits-Recognizer: A well documented Jupyter notebook for learning how...

[Notes for the course and others may be downloaded at https://community.scrippscollege.edu/wcwou/online-resources/class-notes/.] Heading towards the real (and complex) numbers: problems with the rational numbers (algebraic incompleteness, analytic incompleteness).…

The power of network science, the beauty of network visualization.

Sentiment analysis probably is one the most common applications in Natural Language processing. I don’t have to emphasize how important…

Stanford Ph.D. student Richard Socher appreciates the work Google and others are doing to build neural networks that can understand human language. He just thinks his work is more useful — and he’s going to share his code with anyone who wants to see it.

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources - mhbashari/awesome-persian-nlp-ir

This is another very special version of the series.

Our free online lecture series on #NLProc: NLP by @jurafsky & @chrmanning (2012 Coursera nlp-class) https://t.co/wK9Za3WRGo—missing from web for ages for tedious reasons but now back! ❦ NLP with Deep Learning by @chrmanning & @RichardSocher (cs224n 2017)…

This is lecture 1 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.

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