CS50’s Introduction to Artificial Intelligence with Python
Free course by MIT

https://cs50.harvard.edu/ai/2020

Week 0 Search
Week 1 Knowledge
Week 2 Uncertainty
Week 3 Optimization
Week 4 Learning
Week 5 Neural Networks
Week 6 Language

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Hands on ML notebook series

Updated our ultimate post with a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.


GithubLink: https://bit.ly/3eiwAdH

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Core machine learning concepts explained through memes and simple charts. This 120-pages pdf document is created by Mihail Eric.

GitHub repo containing machine learning cheatsheet with code:
https://github.com/soulmachine/machine-learning-cheat-sheet

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PDF from previous repository.

Free ML crash course by Google
https://developers.google.com/machine-learning/crash-course/

Great GitHub repository containing many Google colabs with latest's Deep Learning Models
*Text-to-speach
*Speech recognition
*Object detection
*Pose detection
*Segmentation
*GANs

https://github.com/tugstugi/dl-colab-notebooks

One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.

👩‍🎓Online lectures on Special Topics in AI: Deep Learning

Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more.

Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html

#wheretostart #lectures #YouTube