Daniel
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Learning From Data by Yaser S. Abu-Mostafa
This product was recommended by Zach Hendrix from GreenPal
Great introductory book that covers many key concepts in a simple, easily digestible format. This is the first book I read on the concept of Machine Learning based on a recommendation from a mentor. The book, along with additional online materials, helps build a solid foundation from which to grow from. The free online supplements are key to use in conjunction with the actual book. They provide more depth of coverage and provide concrete problems/examples that includes video lectures.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by by Aurélien Géron
This product was recommended by Flora from WellPCB
By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and Tensor Flow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.
Machine Learning Engineering by Andriy Burkov
This product was recommended by Flora from WellPCB
From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy’s own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders.
Machine Learning For Absolute Beginners by Oliver Theobald
This product was recommended by Ofer Tirosh from Tomedes
This one is for absolute beginners, so it’s perfect for those who want a basic understanding of machine learning. Thus it uses plain language and avoids tech jargon, which usually deters readers. It goes into different aspects of machine learning, such as its history, simple programming, and accessible explanations.
Introduction to Machine Learning with Python by Andreas C. Müller
This product was recommended by Reuben Yonatan from GetVoIP
If you know Python then this is the place to start. Great hands-on examples and well-organized to use as a reference text as you start gaining experience.
