MIT's Books on AI & ML (FREE DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/78p57EBbL8
2. Understanding Deep Learning
https://t.co/D2oyRrXqcE
3. Introduction to Machine Learning Systems
❯ Vol 1: https://t.co/IezLFJdhDV
❯ Vol 2: https://t.co/NYP3xAPZ6u
4. Algorithms for ML
https://t.co/lntuD4Q19H
5. Deep Learning
https://t.co/vCHVIZQYTI
6. Reinforcement Learning
https://t.co/JNWhFCuCkH
7. Distributional Reinforcement Learning
https://t.co/GXpkV4BDZi
8. Multi Agent Reinforcement Learning
https://t.co/T8zVmQVutO
9. Agents in the Long Game of AI
https://t.co/HeD3Nsm5zz
10. Fairness and Machine Learning
https://t.co/csAjhdf7Lb
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/5Leef9ypGj
❯ Part 2 : https://t.co/vRbF0rEIuh
My rocket scientist professor told me to learn Octave during my master's degree ("it's free MATLAB").
So I watched 197 YouTube videos to learn Python instead.
94.4% of them were a complete waste of time.
But these 11 taught me more than all my PhD professors combined:
With the focus of healthcare moving from #hospital to #home, time to reimagine medical education moving from Medical School to School.
There is #edtech in #medtech
Zubin Daruwalla Gurpreet Singh @profJSK@Ashvanniz
Ministry of Education, Singapore (MO…https://t.co/QGGSt11kXX
Kudos to my close friend Zubin Daruwalla and colleagues @ZGJR and Professor Shafi Ahmed for launching HiruX!
A much needed initiative at a much needed hour globally! Highly recommend startups, MNCs and even govt to reach out to them for their perceptive i…https://t.co/nio614PlLm