AI From Scratch (Paperback)

Miras Zharas

ISBN 13: 9798261755708

Published by Independently Published, 2026

About this Item

Paperback. New Horizons: Introduction to Machine Learning is a comprehensive and accessible book for beginners in Artificial Intelligence. It provides essential skills for an aspiring Machine Learning engineer, and serves as an effective tool to break into the field of AI. Whether you are a student, a professional looking for a career switch, this book offers a step-by-step journey through the foundation of Artificial Intelligence.In this book, you will explore the evolution of AI, starting from its pioneers like Alan Turing to the latest breakthroughs in the field. With clear explanations and comments, you will learn fundamental algorithms that form a foundation for modern models, such as Linear Regression, Binary Classification/Logistic Regression and ways to deal with challenges that a Machine Learning engineer faces everyday. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798261755708

Bibliographic Details

• Title: AI From Scratch (Paperback)
• Publisher: Independently Published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798261755708
• Binding: Paperback
• Condition: new

About this title

Synopsis

New Horizons: Introduction to Machine Learning is a comprehensive and accessible book for beginners in Artificial Intelligence. It provides essential skills for an aspiring Machine Learning engineer, and serves as an effective tool to break into the field of AI. Whether you are a student, a professional looking for a career switch, this book offers a step-by-step journey through the foundation of Artificial Intelligence.

In this book, you will explore the evolution of AI, starting from its pioneers like Alan Turing to the latest breakthroughs in the field. With clear explanations and comments, you will learn fundamental algorithms that form a foundation for modern models, such as Linear Regression, Binary Classification/Logistic Regression and ways to deal with challenges that a Machine Learning engineer faces everyday.