If you want a surface level overview of most of the machine learning algorithms out there, than this course will do that. But I'm not sure that it does a much better job than what you could learn by watching youtube videos for free. The "practice notebooks" are extremely disappointing. 1) There's nothing to test you on any of the material you learned in the videos, you're just running cells in a Jupiter notebook that have all already been coded (which you can do for free on the Keras website). 2) The data they use in the notebooks is just randomly generated numbers most of the time, which is absurd considering the numerous free data sets out there that contain real world data. 3) The machine learning models that they put in the notebooks are sometimes broken and do not even train properly to accomplish the task that they claim to do, which makes parts of this course honestly worse than the free material you can find on the Keras website. Overall I am very disappointed that this is the kind of material being put out by IBM. It makes me feel like they paid a few interns to slap together a machine learning course so that they could make a quick buck on Coursera based solely on their name recognition. If you want to learn deep learning, I'd recommend DeepLearning.ai courses instead. Some of the DeepLearning.ai video quality is a bit lower than I would like (I don't know why Andrew Ng uses such a bad camera lol), but the videos are much more in depth and you actually have to code and interact with the Jupyter notebooks that the DeepLearning.ai courses provide, which is the #1 most important thing in my opinion if you want to get into deep learning.

chaos

Good