5 EBooks to Read Before Getting into A Machine Learning Career
- A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
- This book covering machine learning is written by Shai Shalev-Shwartz and Shai Ben-David.
- This introductory text on Bayesian machine learning is one of the most well-known on the topic as far as I am aware, and happens to have a free online version available.
- This is the soon-to-be-released-in-print deep learning book by Goodfellow, Bengio and Courville, which has a freely-available final draft copy on its official website.
- I wish you well on your quest to learn more about machine learning from free ebooks.
A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
@kdnuggets: 5 EBooks to Read Before Getting into A #MachineLearning Career
By Matthew Mayo, KDnuggets.
Note that, while there are numerous machine learning ebooks available for free online, including many which are very well-known, I have opted to move past these “regulars” and seek out lesser-known and more niche options for readers.
Interested in a career in machine learning? Don’t know where to start? Well, there’s always here, a collection of tutorials on pursuing machine learning in the Python ecosystem. If you are looking for something more, you could look here for an overview of MOOCs and online lectures from freely-available university lectures.
Of course, nothing substitutes rigorous formal education, but let’s say that isn’t in the cards for whatever reason. Not all machine learning positions require a PhD; it really depends where on the machine learning spectrum one wants to fit in. Check out this motivating and inspirational post, the author of which went from little understanding of machine learning to actively and effectively utilizing techniques in their job within a year.
Looking to strike a balance between what you would learn in an introductory graduate school machine learning regimen and what you can get from online tutorials? As they have been for hundreds of years, books are a great place to turn. 🙂 Of course, today we have instant access to freely-available digital books, which makes this a very attractive alternative. Have a look at the following free ebooks, all of which are appropriate for an introductory level of understanding, but…