Recently I’ve started to play in
a data scientist a bit more and found that I’m not that much know machine
learning basics, so I’ve decided to read
Introduction to Machine Learning with Python by Sarah Guido and Andreas C. Müller.
It’s a nice book, it explains fundamental concepts without going to
deep and without requiring much of a math background.
The book has a lot of simple synthetic and kind of real-life examples and covers a few
popular use cases.
Although, in some chapters, it felt like reading a Jupyter notebook, but I’ve enjoyed an example with “this is how we get ants”.