If you want to learn AI/ ML in 2025 but don't know how to start, this video will help. In it, I share the 6 key steps I would take to learn ML if I could start over.
Enjoy 💛

=== Links to resources ===
Math
- Why Machines Learn (affiliate link): https://amzn.to/41T18ME
- Khan Academy: https://www.khanacademy.org/

Machine Learning
- Andrew Ng's ML specialization: https://www.coursera.org/specializations/machine-learning-introduction

Deep Learning
- Andrew Ng's DL specialization: https://www.coursera.org/specializations/deep-learning
- Stanford CS25: https://web.stanford.edu/class/cs25/
- @AndrejKarpathy 
- Understanding Deep Learning: https://udlbook.github.io/udlbook/

Projects
Kaggle: https://www.kaggle.com/
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================== Timestamps ================
00:00 - Intro
00:36 - Python
02:29 - Math
06:50 - Machine Learning
08:10 - Deep Learning
11:47 - Projects
=============================================

#ai #datascience #machinelearning

YouTube

A research scientist from a top AI startup shares a detailed roadmap on how one can effectively learn machine learning in 2025. The steps include learning Python, understanding basic math concepts necessary for ML, building fun beginner projects, exploring fundamental machine learning and deep learning concepts through various recommended resources, and emphasizing the importance of practical projects. The guide also highlights the importance of documenting and sharing your learning journey through posts and demos to build a strong portfolio.

How I'd learn ML in 2025 (if I could start over)

<p>The fact that it was a pure experience of a noble thought makes it a unique content to watch</p>
