---
product_id: 188114444
title: "Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies"
price: "₱10269"
currency: PHP
in_stock: false
reviews_count: 8
url: https://www.desertcart.ph/products/188114444-fundamentals-of-machine-learning-for-predictive-data-analytics-second-edition
store_origin: PH
region: Philippines
---

# Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

**Price:** ₱10269
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## Description

desertcart.com: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies: 9780262044691: Kelleher, John D., Mac Namee, Brian, D'Arcy, Aoife: Books

Review: Clearly explained, very intuitive and beginner friendly. - I have IT background as a Python Software Developer (1 year of experience) and nothing to do with mathematics(statistics, linear algebra, calculus,...) or machine learning related stuffs. I've only read through the first 3 chapter and i can say: This book is very easy to read and follow by each chapter. No mathematical background required. Extremely well organized and i think this book will provide a solid basic foundation for you to dig deeper into more complex problems using machine learning. The second edition also include a small section of "Unsupervised learning" which is very well written There's a whole section of Appendixes for who are not familiar with some maths stuff. Also very well written. There's no code provided. Only theory and some formulas but it's easy to grasp if you read carefully and slowly. The theory is very well explained before dive deeper into complex parts. The pros and cons, variations of each algorithms are also discussed thorougly. Highly recommend for people who are: -Completely newbie: no background of anything required. -Want to learn its applications through case studies. -Want to know how a machine learning lifecycle looks like and other business requirements before applying machine learning to solve business's problem. -Grasp a solid foundation of machine learning models: how does this model work,when to use, how to use, other considerations ... -Or to expand further knowledge of WHAT,WHEN and HOW to use machine learning. This book will serve you well on your machine learning journey. Note: Most parts of this book is focusing on Predictive Analytics. And only a small part of Unsupervised learning and Deep learning is discussed.
Review: This book has been written with you in mind - I have read tons of machine learning books, but I have yet to read one where the authors have taken so care to motivate each topic and provide numerous calculations demonstrating how the algorithms work in practice. This book strikes a great balance between theory and practicality, and is by far the most accessible book I’ve read. The only thing I dislike is the notation, since it’s quite nonstandard, but that’s really quite small considering how great everything is.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #955,224 in Books ( See Top 100 in Books ) #152 in Machine Theory (Books) #917 in Probability & Statistics (Books) #1,785 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.7 out of 5 stars 95 Reviews |

## Images

![Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies - Image 1](https://m.media-amazon.com/images/I/81ioipTeeCL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Clearly explained, very intuitive and beginner friendly.
*by N***M on August 3, 2022*

I have IT background as a Python Software Developer (1 year of experience) and nothing to do with mathematics(statistics, linear algebra, calculus,...) or machine learning related stuffs. I've only read through the first 3 chapter and i can say: This book is very easy to read and follow by each chapter. No mathematical background required. Extremely well organized and i think this book will provide a solid basic foundation for you to dig deeper into more complex problems using machine learning. The second edition also include a small section of "Unsupervised learning" which is very well written There's a whole section of Appendixes for who are not familiar with some maths stuff. Also very well written. There's no code provided. Only theory and some formulas but it's easy to grasp if you read carefully and slowly. The theory is very well explained before dive deeper into complex parts. The pros and cons, variations of each algorithms are also discussed thorougly. Highly recommend for people who are: -Completely newbie: no background of anything required. -Want to learn its applications through case studies. -Want to know how a machine learning lifecycle looks like and other business requirements before applying machine learning to solve business's problem. -Grasp a solid foundation of machine learning models: how does this model work,when to use, how to use, other considerations ... -Or to expand further knowledge of WHAT,WHEN and HOW to use machine learning. This book will serve you well on your machine learning journey. Note: Most parts of this book is focusing on Predictive Analytics. And only a small part of Unsupervised learning and Deep learning is discussed.

### ⭐⭐⭐⭐⭐ This book has been written with you in mind
*by M***E on June 9, 2023*

I have read tons of machine learning books, but I have yet to read one where the authors have taken so care to motivate each topic and provide numerous calculations demonstrating how the algorithms work in practice. This book strikes a great balance between theory and practicality, and is by far the most accessible book I’ve read. The only thing I dislike is the notation, since it’s quite nonstandard, but that’s really quite small considering how great everything is.

### ⭐⭐⭐⭐⭐ Great Textbook
*by P***T on February 17, 2022*

I don't usually get much out of textbooks, but this one is straightforward, easy to follow, and provides thorough walkthroughs of sample problems. Highly recommended for anyone exploring this field.

## Frequently Bought Together

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*Product available on Desertcart Philippines*
*Store origin: PH*
*Last updated: 2026-03-14*