The post was originally published in Polish on Artur’s LinkedIn profile. Artur kindly agreed that we repost what we think is of great value to our readers.
Here are 12 books to help you dive into the world of machine learning:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition – Aurélien Géron
- Computer Vision: A Modern Approach, 2nd Edition – David Forsyth, Jean Ponce
- Deep Learning with Python – François Chollet
- Machine Learning Design Patterns – Valliappa Lakshmanan, Sara Robinson, Michael Munn
- Machine Learning – Tom M. Mitchell
- Machine Learning Bookcamp: Build a Portfolio of Real-life Projects – Alexey Grigorev
- Introducing MLOps: How to Scale Machine Learning in the Enterprise – Mark Treveil, Nicolas Omont, Clément Stenac, Kenji Lefevre, Du Phan, Joachim Zentici, Adrien Lavoillotte, Makoto Miyazaki, Lynn Heidmann
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications – Chip Huyen
- Natural Language Processing with TensorFlow: Teach Language to Machines Using Python’s Deep Learning Library – Thushan Ganegedara, Andrei Lopatenko
- The Kaggle Book: Data Analysis and Machine Learning for Competitive Data Science – Konrad Banachewicz, Luca Massaron, Anthony Goldbloom
- Machine Learning with PyTorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python – Sebastian Raschka, Yuxi Liu, Vahid Mirjalili
- Transformers For Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more – Denis Rothman
Bartosz Pampuch, CEO at In4nity and ex-VP & Director of R&D at Comarch Healthcare, added a few more suggestions on top:
- Generative Deep Learning. Teaching Machines to Paint, Write, Compose and Play. – David Foster
- A Brief Introduction to Machine Learning for Engineers – Osvaldo Simeone (not a book, but a monograph, albeit a big one – 237 pages)
- Probability and Statistics for Data Science – Carlos Fernandez-Granda
- Understanding Deep Learning – Simon J.D. Prince
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