What are Zefs Guides?
Zefs Guides are concise books and learning materials about machine learning and data
science related topics. They are designed to help you quickly learn and review the core concepts behind
machine learning and data science.
The first Zefs Guides project is a four book series about Deep Learning, which will be
available in paperback and ebook formats. There will also be separately
sold digital flashcards to accompany each book. The ebooks and flashcards come with a 60
day money back guarantee, so you can get your money back if you're unhappy with them.
Who should read Zefs Guides?
Zefs Guides are for anyone wanting to have a stronger understanding of machine learning and data science
topics. They focus primarily on the concepts themselves and less on the math or programming aspects. They
are focused on understanding the most important concepts.
People who will most benefit include
- Job seekers wanting to do well on technical interviews
- Students wanting to do better in class
- Working ML and DS people wanting gain or refresh knowledge
- Leaders wanting a stronger understanding of current technologies
The first series: Deep Learning
The first Zefs Guides project is a four book series about Deep Learning, which will
cover
the basics of deep learning and specific topics in the the other three books:
- Zefs Guide to Deep Learning
- Zefs Guide to Computer Vision
- Zefs Guide to Natural Language Processing
- Zefs Guide to Transformers
They will be available in paperback and ebook formats. There will also
be
sold-separately digital flashcards in Anki and other formats, which accompany each book.
How do I get Zefs Guides?
The first book in the series, Zefs Guide to Deep Learning, is out now. You can get the paperback,
the ebook, the flashcards, or the ebook + flashcards bundle.
The subsequent books in the series are slated for release in 2023 (or later). Sign up above for email updates (occasional
updates and zero spam) or follow along on Twitter or LinkedIn for updates, other learning resources, and real-time
progress.