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Machine learning engineer vs data scientist: https://www.youtube.com/watch?v=NmC0VfeYUog&t=276s
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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 - https://www.youtube.com/watch?v=fNk_zzaMoSs
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/python-for-everybody/
Machine Learning with Python and Scikit-Learn - https://www.youtube.com/watch?v=hDKCxebp88A
Neetcode - https://neetcode.io/courses
Leetcode - https://leetcode.com/
Hackerrank - https://www.hackerrank.com/
Machine Learning Specialisation - https://www.coursera.org/learn/machine-learning
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/specializations/deep-learning
Intro to Large Language Models - https://www.youtube.com/watch?v=zjkBMFhNj_g&t=3065s
Neural Networks: Zero to Hero - https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
RL Course by David Silver - https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
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 and entertainment purposes and does not constitute professional advice. Opinions are my own. Some links are affiliate links that support the channel at no extra cost to you.