# DS, AI, ML Online Course, Tutorial, Videos

# 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)