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38981168
Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning for Beginners)
Item #:
38981168
STD 576400
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What Stands Out
Beginner-Friendly Approach
This book simplifies complex machine learning concepts into plain English, making it accessible for those with no technical background. Ideal for absolute beginners looking to grasp the fundamentals effortlessly.
Practical Python Examples
With hands-on Python coding examples, readers can directly apply what they learn. This practical approach bridges theory with real-world application, enhancing the learning experience for new programmers.
Updated Content
The third edition includes the latest advancements in machine learning, ensuring readers are equipped with current knowledge and effective practices, making it relevant for today's rapidly evolving tech landscape.
Product Details
- (Featured and recommended by Tableau as the first of 7 Books About Machine Learning for Beginners)Want to add 'Machine Learning with Python' to your LinkedIn profile and create your own real estate prediction model?This book and the others in this series will help you do just that. Whether you're an absolute beginner or simply looking to refresh your knowledge, this first book provides the essential skills and hands-on experience needed to build your first predictive model in Python.What Makes This Book Different?Many machine learning textbooks for beginners aren’t truly written for beginners.This book was designed specifically for people starting from zero. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along. New Updated EditionThis new edition features extended chapters with quizzes, updated code for 2026, an easy introduction to coding with Python as well as downloadable resources not included in the Second Edition.What You Will Learn• How to find and download free datasets for machine learning projects• Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values• How to prepare data for accurate analysis using methods like k-fold validation• Regression analysis to identify trends and make predictions• k-means clustering to uncover hidden patterns and relationships in data• The fundamentals of neural networks and how modern AI systems learn• A step-by-step beginner project to predict house prices using Python and machine learningMachine learning doesn't have to be intimidating. This book gives you the skills to build your first prediction model in Python, step by step.Scroll up and click Buy Now to get started right awayFrequently Asked QuestionsQ: Do I need programming experience to complete this book?A: This book is designed for absolute beginners, so no programming experience is required.Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?A: As the same topics from the Second Edition are covered in the Third Edition, you would be better served by reading a more advanced book on machine learning and AI. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.Q: Does this book include everything I need to become a machine learning expert?A: Unfortunately, no. This book is designed for beginners and further learning will be required beyond this book to master AI and machine learning and become the next Andrew Ng.
| Publisher | Independently published |
| Publication date | January 1, 2021 |
| Language | English |
| Print length | 172 pages |
| ISBN-13 | 979-8558098426 |
| Item Weight | 7.7 ounces (218.3 grams) |
| Dimensions | 6 x 0.41 x 9 inches (15.2 x 1 x 22.9 cm) |
| Book 1 of 3 | Learn Machine Learning for Beginners |
Who Should Buy?
-
Complete Beginners
Ideal for individuals with no prior knowledge of machine learning or programming, providing foundational concepts and terminology.
-
Self-Learners
Great resource for motivated learners who prefer exploring topics at their own pace without needing advanced prerequisites.
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Educators and Trainers
Useful for teachers needing straightforward material to introduce machine learning concepts to students, regardless of their educational background.
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Advanced Users
Not suitable for individuals with a solid background in machine learning looking for in-depth analysis or advanced methodologies.
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Intelligence & Semantics Editorial Review
Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) is an excellent resource that covers essential machine learning concepts in a concise manner. The book's 172 pages include valuable visual aids and links to video tutorials, making it a practical reference for both those with some prior knowledge and total novices seeking a refresher. Readers have appreciated its clarity and the author's steady pacing, allowing them to grasp complex topics without oversimplifying. While it serves primarily as an introduction rather than a hands-on guide for projects, it includes short quizzes at the end of each chapter to reinforce learning, making it particularly useful for individuals navigating data science and data analysis. Overall, it's a recommended read for anyone looking to deepen their understanding of machine learning without getting bogged down in technical jargon.
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Pros
- Clear and concise explanations of machine learning concepts
- Includes visual aids and video tutorial links
- Short quizzes reinforce learning after each chapter
- Perfect for quick reference on specific topics
- Steady pacing helps with comprehension of complex topics
Cons
- May not be suitable for complete beginners without prior knowledge
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