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Video transcript: https://medium.com/data-science-colle...

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RESOURCES
Practical Statistics for Data Science - https://amzn.to/4iNYzRF
Mathematics for Machine Learning - https://amzn.to/4chA2SA
Essence of Linear Algebra -    • Vectors | Chapter 1, Essence of linear alg...  
Brilliant - https://brilliant.org/
Khan Academy - https://www.khanacademy.org/
W3Schools - https://www.w3schools.com/python/
Python for Everybody Specialization - https://online.umich.edu/series/pytho...
Machine Learning with Python and Scikit-Learn -    • Machine Learning with Python and Scikit-Le...  
Neetcode - https://neetcode.io/courses
Leetcode - https://leetcode.com/
Hackerrank - https://www.hackerrank.com/
Machine Learning Specialisation - https://www.coursera.org/learn/machin...
The Hundred-Page Machine Learning Book - https://amzn.to/4hQx1JN
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - https://amzn.to/3XCtpEf
The Elements of Statistical Learning - https://amzn.to/3FKyXWW
Deep Learning Specialization - https://www.coursera.org/specializati...
Intro to Large Language Models -    • [1hr Talk] Intro to Large Language Models  
Neural Networks: Zero to Hero -    • Neural Networks: Zero to Hero  
RL Course by David Silver -    • RL Course by David Silver - Lecture 1: Int...  
Practical MLOps - https://amzn.to/4iQRsb0
Designing Machine Learning Systems - https://amzn.to/4i4yM6A

TIMESTAMPS
0:00 Intro
0:24 Why work in AI/ML?
2:33 Step 1
4:40 Step 2
6:13 Step 3
7:00 Step 4
9:30 Step 5
12:32 Step 6

DISCLAIMERS & DISCLOSURES
This content is for educational purposes and does not constitute professional advice. Opinions are my own. Some links are affiliate links.