Machine Learning for Absolute Beginners: | A Step-by-Step Introduction to AI and Data Science (No Coding Required - Learn the Basics of Algorithms and Predictive Analytics).DE

Jonathan K. Hari

ISBN 10: 3565490640 / ISBN 13: 9783565490646

Published by epubli, 2026

About this Item

Machine Learning for Absolute Beginners: | A Step-by-Step Introduction to AI and Data Science (No Coding Required - Learn the Basics of Algorithms and Predictive [.] | Jonathan K. Hari | Taschenbuch | Englisch | epubli | EAN 9783565490646 | Verantwortliche Person für die EU: Neopubli GmbH (Imprint: epubli), Köpenicker Str. 154a, 10997 Berlin, produktsicherheit[at]epubli[dot]com | Anbieter: preigu.

Seller Inventory # 135661517

Bibliographic Details

• Title: Machine Learning for Absolute Beginners: | A Step-by-Step Introduction to AI and Data Science (No Coding Required - Learn the Basics of Algorithms and Predictive Analytics).DE
• Publisher: epubli
• Publication Date: 2026
• Language: English
• ISBN 10: 3565490640
• ISBN 13: 9783565490646
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 170H x 4D millimeters 240 millimeters width by 170 millimeters height by 4 millimeters depth
• Weight: 183 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Machine Learning for Absolute Beginners In a world where artificial intelligence is shaping the future, understanding machine learning is no longer optional—it’s essential. This book takes you on a journey through the fundamentals of AI and data science, breaking down complex concepts into simple, beginner-friendly language. Whether you're a tech enthusiast, an aspiring data scientist, or just curious about the power of AI, this step-by-step guide will help you grasp the essentials without needing any prior coding experience. Inside This Book, You'll Discover: The difference between AI, machine learning, and deep learning Types of machine learning: Supervised, unsupervised, and reinforcement learning Key concepts like data, features, labels, and models Understanding algorithms, from linear regression to neural networks How to prepare and clean data for machine learning An introduction to Python and popular ML libraries like Scikit-Learn, TensorFlow, and PyTorch Real-world applications and ethical considerations in AI This book is designed for absolute beginners, ensuring you build a strong foundation in machine learning without the need for complex mathematics or programming skills. If you've ever wanted to explore AI but didn’t know where to start—this is your gateway into the exciting world of machine learning! Scroll Up and Grab Your Copy Today!