# Machine Learning Specialization on Youtube - Andrew Ng, DeepLearningAI

- URL: https://rdjarbeng.com/personal/andrewng_youtube/
- Published: 2025-08-05
- Author: Richard Djarbeng


Andrew Ng's Machine Learning Specialization, one of the most popular AI courses ever made, is now completely free on YouTube. If you've been putting it off, this is the easiest on-ramp to learning ML properly.

![Screenshot of Andrew Ng's Machine Learning Specialization YouTube playlist](/assets/images/andrewng_youtube.png)

## What Is This Course?

The **Machine Learning Specialization** is the updated version of Andrew Ng's legendary Stanford ML course, rebuilt from the ground up by [DeepLearning.AI](https://www.deeplearning.ai/). It covers:

- **Supervised Learning**: linear & logistic regression, decision trees, neural networks
- **Unsupervised Learning**: clustering, anomaly detection, recommender systems
- **Best Practices**: how to debug and improve ML models in the real world

The biggest upgrade from the old Stanford course: everything is now in **Python** (NumPy, scikit-learn, TensorFlow) instead of Matlab/Octave.

## Who Is It For?

This course is ideal if you:

- Are new to machine learning and want a solid, structured foundation
- Took the old Stanford ML course and want to catch up with modern tools
- Want to understand the theory *and* the code behind ML algorithms

You don't need a math degree. Andrew Ng is famously good at making complex concepts approachable.

## Free on YouTube vs. Coursera

The **lecture videos are 100% free on YouTube**. If you want graded assignments and a certificate, those are on Coursera (paid). For most people just learning, YouTube is more than enough to get started.

<iframe width="100%" height="400" src="https://www.youtube.com/embed/videoseries?list=PLkDaE6sCZn6FNC6YRfRQc_FbeQrF8BwGI" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

[▶ Watch the full playlist on YouTube](https://www.youtube.com/playlist?list=PLkDaE6sCZn6FNC6YRfRQc_FbeQrF8BwGI){:target="_blank"}

## My Take

If you're serious about understanding machine learning (not just using libraries blindly), this is the course to do. Andrew Ng doesn't just show you *how* to run the code, he explains *why* it works. That intuition is what separates someone who can apply ML from someone who can debug and improve it.

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Also check out Andrew Ng's TED talk on how AI could be made accessible to any business, not just big tech: [How AI Could Empower Any Business](/andrewng_ted/)

Originally shared by [Jean de Dieu Nyandwi](https://www.linkedin.com/posts/richarddjarbeng_machinelearning-python-activity-7019675741114015745-EJM6?utm_source=share&utm_medium=member_desktop)