Learning-Resources

Learning Resources and Links for all the Resources for AI, Basic Web developement, Basics of CS and algorithms, Practical and theoretical ML, Self Driving Cars.

Artificial Intelligence

• ColumbiaX: CSMM.101x Artificial Intelligence (AI)
• BerkeleyX: CS188.1x Artificial Intelligence
• AIND *Solving a Sudoku with AI *Advanced Game Playing *PACMAN

General Python Scripting

• Corey Schafer
• Sentdex

Web Developement

• Designing RESTful APIs. (Udacity)
• Designing Scalable WEB apps in Python. (Udacity)
• Web developement. (Udacity)

Machine Learning

• Introduction to computational thinking and Data science (edX)
• Machine Learning Specailization (Coursera)

Deep Learning

• Deep Learning. (Udacity)
• Hvass labs- Deep Learning.
• Dive Into TensorFlow part-(I-VI)
• DLFND (udacity)
• Deep Learning Tutorial Release 0.1 LISA lab, University of Montreal
• Practical Deep Learning for coders 18 hrs of Videos
• Practical Deep Learning for coders- Notebooks

Self Driving Cars

• MIT 6.S094: Deep Learning for Self-Driving Cars

• SDCND Term 1 official Medium blogpost

• Term 1 Projects

  • Finding Lane Lines
  • Hough Transform
  • Traffic Sign Classifier
  • Behavioral Cloning
  • Advanced Lane Finding

• SDCND Term 1 Boston Self Driving Cars Meetup

• Bay Area AI: David Silver, Becoming a Self-Driving Car Engineer

• German sign classification using deep learning neural networks

Databases

• Data Wrangling with MongoDB (Udacity)

CS Basics

• Introduction to CS using Python MITx.
• CS 50 youtube.
• Programming foundations with Python. (Udacity)
• Intro to algorithms. (Udacity)
• Design and analysis of computer programs.(Udacity)
• Intro to computer programs.(Udacity)

Natural Language Processing

• CS224D Deep Learning for NLP * Class Videos 2016 * WebSite

• Dan Jurafsky & Chris Manning: Natural Language Processing

• Natural Language Processing - Coursera (FULL) | University of Michigan

SQL

• [SQL ZOO] (https://sqlzoo.net/)

Chatbots

Pycon Videos

• Miguel Grinberg - Flask at Scale - PyCon 2016
• Jérôme Petazzoni - Introduction to Docker and containers - PyCon 2016
• David Baumgold - Get Started with Git - PyCon 2016
• Allen Downey - Computational Statistics - PyCon 2016
• Allen Downey - Bayesian statistics made simple - PyCon 2016
• PyData 101: Essential data science skills for every programmer, from data to model to visualization
• Michael Tom-Wing, Christie Wilson - Introduction to Unit Testing in Python with Pytest - PyCon 2016)
• Luciano Ramalho - Pythonic Objects: implementing productive APIs with the Python Data Model
• Julia Ferraioli, Amy Unruh, Eli Bixby - Diving into Machine Learning through TensorFlow - PyCon 2016
• Tony Ojeda, Benjamin Bengfort, Laura Lorenz - Natural Language Processing with NLTK and Gensim

Pydata Videos

• Bobby Filar | Bot or Not? The Illusion of Intelligence
• Patrick Harrison | Modern NLP in Python Github