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Machine Learning and AI for Absolute Beginners
Machine Learning and AI for Absolute Beginners

Machine Learning and AI for Absolute Beginners: The Ultimate Guide to AI and Machine Learning for Newcomers

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Profile Icon Oliver Theobald
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$18.99
eBook Aug 2025 236 pages 1st Edition
eBook
$18.99
Arrow left icon
Profile Icon Oliver Theobald
Arrow right icon
$18.99
eBook Aug 2025 236 pages 1st Edition
eBook
$18.99
eBook
$18.99

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Key benefits

  • Covers AI fundamentals, Machine Learning, and Python model-building
  • Provides a clear, step-by-step guide to learning AI techniques
  • Explains ethical considerations and the future role of AI in society

Description

This book is an ideal starting point for anyone interested in Artificial Intelligence and Machine Learning. It begins with the foundational principles of AI, offering a deep dive into its history, building blocks, and the stages of development. Readers will explore key AI concepts and gradually transition to practical applications, starting with machine learning algorithms such as linear regression and k-nearest neighbors. Through step-by-step Python tutorials, the book helps readers build and implement models with hands-on experience. As the book progresses, readers will dive into advanced AI topics like deep learning, natural language processing (NLP), and generative AI. Topics such as recommender systems and computer vision demonstrate the real-world applications of AI technologies. Ethical considerations and privacy concerns are also addressed, providing insight into the societal impact of these technologies. By the end of the book, readers will have a solid understanding of both the theory and practice of AI and Machine Learning. The final chapters provide resources for continued learning, ensuring that readers can continue to grow their AI expertise beyond the book.

Who is this book for?

This book is ideal for beginners with no prior knowledge of AI or Machine Learning. It is tailored to those who wish to dive into these topics but are not yet familiar with the terminology or techniques. There are no prerequisites, though basic programming knowledge can be helpful. The book caters to a wide audience, from students and hobbyists to professionals seeking to transition into AI roles. Readers should be enthusiastic about learning and exploring AI applications for the future.

What you will learn

  • Understand key AI and ML concepts and how they work together
  • Build and apply machine learning models from scratch
  • Use Python to implement AI techniques and improve model performance
  • Explore essential AI tools and frameworks used in the industry
  • Learn the importance of data and data preparation in AI development
  • Grasp the ethical considerations and the future of AI in work

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 20, 2025
Length: 236 pages
Edition : 1st
Language : English
ISBN-13 : 9781806384709
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Product Details

Publication date : Aug 20, 2025
Length: 236 pages
Edition : 1st
Language : English
ISBN-13 : 9781806384709
Category :

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Table of Contents

37 Chapters
AI for Absolute Beginners
Prologue
Introduction
A Brief History
AI Building Blocks
The 3 Stages of AI Development
Machine Learning
Deep Learning
Natural Language Processing
Generative AI
Recommender Systems
Computer Vision
Privacy & Ethical Considerations
The Future of Work
Further Resources
Machine Learning for Absolute Beginners
Preface
What is Machine Learning?
Machine Learning Categories
The Machine Learning Toolbox
Data Scrubbing
Setting Up Your Data
Linear Regression
Logistic Regression
k-Nearest Neighbors
k-Means Clustering
Bias & Variance
Support Vector Machines
Artificial Neural Networks
Decision Trees
Ensemble Modeling
Development Environment
Building a Model in Python
Model Optimization
Other Resources
Thank You
Further Resources
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