From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, comes this comprehensive new edition by Andriy Burkov. Titled “Machine Learning Engineering,” it stands as the most complete applied AI book available today, brimming with best practices and design patterns for building reliable machine learning solutions that scale. With 15 years of experience in solving problems with AI and leadership roles at industry giants like Gartner, Andriy Burkov shares his expertise through this meticulously crafted guide. The foreword by Cassie Kozyrkov, Chief Decision Scientist at Google, highlights its unique position as a true applied machine learning book amidst the vast landscape of research-oriented literature.

Containing 310 pages, “Machine Learning Engineering” is not just another academic tome but a practical resource designed to help professionals and enthusiasts alike navigate the complexities of AI implementation. This invaluable guide will equip you with the knowledge needed to design general-purpose algorithms that can be scaled effectively in real-world applications.

Whether you’re a seasoned professional or a newcomer to the field, this book offers insights and methodologies that will enhance your understanding of machine learning engineering. Dive into its pages and discover how to leverage AI for practical solutions that meet the needs of today’s dynamic business environments.