This repo provides a great starting resource for people who wanted to get started in the field of machine learning,the repo consist of links to best online courses, demos and books.
Default Starter to Intermediate:
Introduction to Python Data camp
Python, Pandas, Data visualization, Intro to machine learning
Math Khan Academy: Linear Algebra,Calculus,Statistics and Probability.
Neural Networks Three Blue One Brown
Machine Learning Glossary:
Google: https://developers.google.com/machine-learning/glossary
Ml-cheetsheet:https://ml-cheatsheet.readthedocs.io/en/latest/glossary.html
Data camp Cheatsheet:https://www.datacamp.com/community/data-science-cheatsheets
Intermediate to Advanced:
Deep Learning : MIT deep learning
Convolutional Neural Networks: Stanford CNN
Reinforcement Learning:David Silver
Intermediate Math:
Three blue one Brown: Linear Algebra,Essence of Calculus,Differential Equations
https://www.edx.org/course/probability-the-science-of-uncertainty-and-data
https://www.udacity.com/course/intro-to-statistics--st101
Books:
Podcast:
Blogs:
Medium-Towards Data Science,Tensorflow
Alternatives:
Machine Learning Course:
https://www.udacity.com/course/intro-to-machine-learning--ud120
https://developers.google.com/machine-learning/crash-coursel
Deep Learning courses
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
To stay updated:
Twitter -follow the people whom I follow to stay updated
Youtube channel:
Demos:
https://quickdraw.withgoogle.com/
https://storage.googleapis.com/tfjs-models/demos/posenet/camera.html
https://storage.googleapis.com/tfjs-models/demos/body-pix/index.html
https://teachablemachine.withgoogle.com/
https://playground.tensorflow.org/
https://www.nvidia.com/en-us/research/ai-playground/
https://gandissect.csail.mit.edu/
http://gandissect.res.ibm.com/ganpaint.html
https://storage.googleapis.com/tfjs-examples/webcam-transfer-learning/dist/index.html
https://magenta.tensorflow.org/
https://beat-pose.netlify.com/
https://magenta.tensorflow.org/assets/sketch_rnn_demo/index.html