DS, AI, ML Online Course, Tutorial, Videos
Courses
Machine Learning – Stanford by Andrew Ng in Coursera (2010-2014)
Machine Learning – Caltech by Yaser Abu-Mostafa (2012-2014)
Machine Learning – Carnegie Mellon by Tom Mitchell (Spring 2011)
Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012)
Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013)
Deep Learning Course by CILVR lab @ NYU (2014)
A.I – Berkeley by Dan Klein and Pieter Abbeel (2013)
A.I – MIT by Patrick Henry Winston (2010)
Vision and learning – computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013)
Convolutional Neural Networks for Visual Recognition – Stanford by Fei-Fei Li, Andrej Karpathy (2017)
Deep Learning for Natural Language Processing – Stanford
Neural Networks – usherbrooke
Machine Learning – Oxford (2014-2015)
Deep Learning – Nvidia (2015)
Graduate Summer School: Deep Learning, Feature Learning by Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Andrew Ng, Nando de Freitas and several others @ IPAM, UCLA (2012)
Deep Learning – Udacity/Google by Vincent Vanhoucke and Arpan Chakraborty (2016)
Deep Learning – UWaterloo by Prof. Ali Ghodsi at University of Waterloo (2015)
Statistical Machine Learning – CMU by Prof. Larry Wasserman
Deep Learning Course by Yann LeCun (2016)
Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
UVA Deep Learning Course MSc in Artificial Intelligence for the University of Amsterdam.
MIT 6.S094: Deep Learning for Self-Driving Cars
MIT 6.S191: Introduction to Deep Learning
Berkeley CS 294: Deep Reinforcement Learning
Keras in Motion video course
Practical Deep Learning For Coders by Jeremy Howard – Fast.ai
Introduction to Deep Learning by Prof. Bhiksha Raj (2017)
AI for Everyone by Andrew Ng (2019)
MIT Intro to Deep Learning 7 day bootcamp – A seven day bootcamp designed in MIT to introduce deep learning methods and applications (2019)
Deep Blueberry: Deep Learning – A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more (2019)
Spinning Up in Deep Reinforcement Learning – A free deep reinforcement learning course by OpenAI (2019)
Deep Learning Specialization – Coursera – Breaking into AI with the best course from Andrew NG.
Deep Learning – UC Berkeley STAT-157 by Alex Smola and Mu Li (2019)
Machine Learning for Mere Mortals video course by Nick Chase
Machine Learning Crash Course with TensorFlow APIs -Google AI
Deep Learning from the Foundations Jeremy Howard – Fast.ai
Deep Reinforcement Learning (nanodegree) – Udacity a 3-6 month Udacity nanodegree, spanning multiple courses (2018)
Grokking Deep Learning in Motion by Beau Carnes (2018)
Face Detection with Computer Vision and Deep Learning by Hakan Cebeci
Presentation skills: Designing Presentation Slides - Coursera
Mathematics for Machine Learning: Multivariate Calculus - Coursera
Machine Learning – Home Coursera
Mathematics for Machine Learning: Multivariate Calculus - Coursera
Data Science Certificates - Coursera
Edureka
Edureka-Cloudera Manager
Udemy Courses
Courses – Online Reiki Course
DataCamp Courses
Byju
udacity
What is Spark – A Comparison Between Spark vs. Hadoop
Microsoft Azure Machine Learning Studio (classic)
Welcome to The Apache Software Foundation!
Making India Employable - Vivid Vision 10 10 10
GpI8H5 – Online Python3 Interpreter & Debugging Tool – Ideone.com
Google I/O 2019 – All Sessions – YouTube
TensorFlow at Google I/O 2019 – YouTube
Quantum Mechanics - BSc Lectures by Prof. H C Verma and Team
Open Pathshala - Your Best Source to Learn Sanskrit
Class Central #1 Search Engine for Free Online Courses & MOOCs
Free Online Course: Mathematics for Machine Learning: Multivariate Calculus from Coursera - Class Central
e Learning for Basic Science and Maths
Online Classes by Skillshare - Start for Free Today
Learn online marketing with free courses – Google Digital Garage
Moz Blog – SEO and Inbound Marketing Blog – Moz
NPTEL Online Courses Mobile
Learn Python, Data Viz, Pandas & More - Tutorials - Kaggle
Data Science Training
Tutorials
UFLDL Tutorial 1
UFLDL Tutorial 2
Deep Learning for NLP (without Magic)
A Deep Learning Tutorial: From Perceptrons to Deep Networks
Deep Learning from the Bottom up
Theano Tutorial
Neural Networks for Matlab
Using convolutional neural nets to detect facial keypoints tutorial
Torch7 Tutorials
The Best Machine Learning Tutorials On The Web
VGG Convolutional Neural Networks Practical
TensorFlow tutorials
More TensorFlow tutorials
TensorFlow Python Notebooks
Keras and Lasagne Deep Learning Tutorials
Classification on raw time series in TensorFlow with a LSTM RNN
Using convolutional neural nets to detect facial keypoints tutorial
TensorFlow-World
Deep Learning with Python
Grokking Deep Learning
Deep Learning for Search
Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder
Pytorch Tutorial by Yunjey Choi
Understanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras
Overview and benchmark of traditional and deep learning models in text classification
Hardware for AI: Understanding computer hardware & build your own computer
Programming Community Curated Resources
The Illustrated Self-Supervised Learning
Visual Paper Summary: ALBERT (A Lite BERT)
Videos and Lectures
How To Create A Mind By Ray Kurzweil
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
Recent Developments in Deep Learning By Geoff Hinton
The Unreasonable Effectiveness of Deep Learning by Yann LeCun
Deep Learning of Representations by Yoshua bengio
Principles of Hierarchical Temporal Memory by Jeff Hawkins
Machine Learning Discussion Group – Deep Learning w/ Stanford AI Lab by Adam Coates
Making Sense of the World with Deep Learning By Adam Coates
Demystifying Unsupervised Feature Learning By Adam Coates
Visual Perception with Deep Learning By Yann LeCun
The Next Generation of Neural Networks By Geoffrey Hinton at GoogleTechTalks
The wonderful and terrifying implications of computers that can learn By Jeremy Howard at TEDxBrussels
Unsupervised Deep Learning – Stanford by Andrew Ng in Stanford (2011)
Natural Language Processing By Chris Manning in Stanford
A beginners Guide to Deep Neural Networks By Natalie Hammel and Lorraine Yurshansky
Deep Learning: Intelligence from Big Data by Steve Jurvetson (and panel) at VLAB in Stanford.
Introduction to Artificial Neural Networks and Deep Learning by Leo Isikdogan at Motorola Mobility HQ
NIPS 2016 lecture and workshop videos – NIPS 2016
Deep Learning Crash Course : a series of mini-lectures by Leo Isikdogan on YouTube (2018)
Deep Learning Crash Course By Oliver Zeigermann
Deep Learning with R in Motion : a live video course that teaches how to apply deep learning to text and images using the powerful Keras library and its R language interface.
8 Essential Tips for People starting a Career in Data Science .
Cheatsheet: How to become a data scientist .
The Art of Learning Data Science .
The Periodic Table of Data Science .
Aspiring Data Scientists! Start to learn Statistics with these 6 books !
8 Skills You Need to Be a Data Scientist
Top 10 Essential Books for the Data Enthusiast
Aspiring data scientist? Master these fundamentals .
How to Become a Data Scientist – On your own.
GRETL – Great Statistical software for Beginners
Simple Linear Regression https://lnkd.in/ecfsV9c
Coding Dummy Variables https://lnkd.in/ef7Yd7f
Forecasting New Observations https://lnkd.in/eNKbxbU
Forecasting a Large Number of Observations https://lnkd.in/eHmibGs
Logistic Regression https://lnkd.in/eRfhQ87
Forecasting and Confusion Matrix https://lnkd.in/eaqrFJr
Modeling and Forecasting Time Series Data https://lnkd.in/e6fqKpF
Comparing Time Series Trend Models https://lnkd.in/eKjEUAE
Khan Academy is the best online free resource to learn Math for Data Science. ( https://www.khanacademy.org/math/ ).
Krista King has also done a great job in creating an exceptionally good introductory course. She is too good at designing the course. ( https://www.udemy.com/user/kristaking/ .
3Blue1Brown ( https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw/playlists ).
Every Intro to Data Science Course on the Internet, Ranked. (https://lnkd.in/fQDMiNX )
What would be useful for aspiring data scientists to know? (https://lnkd.in/fmcFyN7 )