Machine Learning Specialization: A Comprehensive Review - Worth It or Nah?

Machine Learning Specialization: https://bit.ly/3hjTBBt

I recently completed the machine learning specialization by Andrew Ng that replaces the original legendary machine learning course now with updated coding assignments in Python and improved lecture quality. In this video I share my thoughts on the specialization, who it's designed for and what you'll learn if you decide to take it.

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Paid Courses I recommend for learning (affiliate links, no extra cost for you):
⭐ Machine Learning Specialization https://bit.ly/3hjTBBt
⭐ Deep Learning Specialization https://bit.ly/3YcUkoI
📘 MLOps Specialization http://bit.ly/3wibaWy
📘 GAN Specialization https://bit.ly/3FmnZDl
📘 NLP Specialization http://bit.ly/3GXoQuP

✨ Free Resources that are great:
NLP: https://web.stanford.edu/class/cs224n/
CV: http://cs231n.stanford.edu/
Deployment: https://fullstackdeeplearning.com/
FastAI: https://www.fast.ai/

💻 My Deep Learning Setup and Recording Setup:
https://www.amazon.com/shop/aladdinpe...

GitHub Repository:
https://github.com/aladdinpersson/Mac...

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Timestamps:
0:00 - Introduction
0:41 - Why this specialization?
2:03 - Thoughts on the instructor Andrew Ng
2:50 - Overall rating
3:10 - Who is it for?
4:06 - Overview of the courses
7:40 - Course structure
10:35 - Thoughts on what can be improved
14:48 - More detailed content walkthrough
19:58 - Time to complete
20:30 - Cost
21:10 - Summary of the specialization