Machine Learning for Beginners (Paperback)

Sarath Vaddi

ISBN 13: 9798240807008

Published by Sarath Vaddi, 2026

About this Item

Paperback. Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.What you'll learn: - The core concepts behind every ML system: data, features, models, training, and evaluation- The three types of machine learning and where each is used- A practical tour of the algorithms that power real-world products- A complete, working ML example in Python - explained in plain English- Common mistakes beginners make, and how to avoid them- The ethical questions every ML practitioner should understandA clear, straightforward guide to actually understanding machine learning. 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 # 9798240807008

Bibliographic Details

• Title: Machine Learning for Beginners (Paperback)
• Publisher: Sarath Vaddi
• Publication Date: 2026
• ISBN 13: 9798240807008
• Binding: Paperback
• Condition: new

About this title

Synopsis

Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.

Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.

Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.

What you'll learn:

- The core concepts behind every ML system: data, features, models, training, and evaluation

- The three types of machine learning and where each is used

- A practical tour of the algorithms that power real-world products

- A complete, working ML example in Python - explained in plain English

- Common mistakes beginners make, and how to avoid them

- The ethical questions every ML practitioner should understand

A clear, straightforward guide to actually understanding machine learning.