In a previous article, I discussed how to begin learning Data Science from the foundation. In that article, I mentioned YouTube as one of the useful online resources for learning. YouTube is an excellent platform for learning a wide range of topics. My wife even used YouTube to successfully pass a German Language Certification exam with a 94% score. I, too, have learned a lot from YouTube and I’m sure you have as well. Thank you, YouTube, for all the knowledge you provide.

There are several reasons why someone might choose to learn machine learning from YouTube:

1. Convenience: YouTube is a convenient and accessible resource, as it can be accessed from any device with an internet connection. This makes it easy to learn machine learning on your own schedule and at your own pace, without having to commit to a specific course or program.
2. Wide range of resources: YouTube offers a wide range of resources for learning machine learning, including tutorials, lectures, and full courses. This means you can choose the resources that best suit your needs and learning style.
3. Expert instructors: Many YouTube channels are run by experts in machine learning, and they can provide valuable insights and guidance as you learn.
4. Interactive learning: Many YouTube videos are interactive, allowing you to pause and rewind as needed, or to follow along with the instructor as they demonstrate a technique or concept. This can be a helpful way to learn, especially if you’re a visual learner.
5. Cost-effective: Learning machine learning from YouTube is often free or low-cost, making it a budget-friendly option for those looking to develop their skills in this field.

Overall, YouTube is a great resource for learning machine learning, and it offers a number of benefits for those looking to develop their skills in this exciting and rapidly-growing field.

There are many YouTube playlists that can be helpful for learning machine learning from scratch. Here are my top 5:

1. “Machine Learning with Python” by sentdex: This playlist is a comprehensive introduction to machine learning using Python. It covers a wide range of topics, including supervised and unsupervised learning, decision trees, and neural networks. You can find the playlist at https://www.youtube.com/watch?v=OGxgnH8y2NM&list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v.
2. “Machine Learning for Everyone” by The Coding Train: This playlist is a friendly and accessible introduction to machine learning using Python. It covers a wide range of topics, including linear regression, logistic regression, and neural networks. You can find the playlist at https://www.youtube.com/watch?v=cKxRvEZd3Mw&list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y.
3. “Machine Learning with Andrew Ng” by Stanford University: This playlist features a series of lectures on machine learning by Andrew Ng, co-founder of Google Brain and former VP and Chief Scientist at Baidu. The lectures cover a wide range of topics, including supervised and unsupervised learning, linear regression, and neural networks. You can find the playlist at https://www.youtube.com/watch?v=UzxYlbK2c7E&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN.
4. “Machine Learning for Absolute Beginners” by deeplizard: This playlist is a comprehensive introduction to machine learning for those with no prior experience. It covers a wide range of topics, including supervised and unsupervised learning, linear regression, and neural networks. You can find the playlist at https://www.youtube.com/watch?v=Z7Ln1vfEX4w&list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU.

These are just a few examples of the many YouTube playlists available for learning machine learning from scratch. With the right resources and dedication, you can develop the skills and knowledge you need to succeed in this exciting and rapidly-growing field.