---
product_id: 7285922
title: "Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms"
price: "₱4001"
currency: PHP
in_stock: true
reviews_count: 13
url: https://www.desertcart.ph/products/7285922-artificial-intelligence-for-humans-volume-1-fundamental-algorithms
store_origin: PH
region: Philippines
---

# Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

**Price:** ₱4001
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- **What is this?** Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
- **How much does it cost?** ₱4001 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ph](https://www.desertcart.ph/products/7285922-artificial-intelligence-for-humans-volume-1-fundamental-algorithms)

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## Description

A great building requires a strong foundation. This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

Review: Succinct, Pithy Overview: Puts "Data Science" Books To Shame! - This book has been excellent. I am an experienced practitioner, but am new to artificial intelligence, so I needed a book that would know what I didn't know that I didn't know, and explain it to me. This book is amazingly on-topic and to-the-point - I felt as if it were some sort of knowledge concentrate, there was so much information in each chapter. Am now reading the second book in the series :). Re "Data Science", I have been designing a system to feed ginat quantities of data to data scientists, so I thought I should know better what, in fact, "data science" was, so I bought some books. Most of the machine learning and modeling are actually the same, but this book explained in a few hundred pages what the data science books struggled to, in aggregate, in over a thousand pages! (I was blaming myself, until I read this book, in fact, since when ten external sources say you're wrong, and you say you're right, you're probably wrong :))
Review: A few issues, but really helpful overall - This book generally does a good job of not assuming prior math / notation knowledge. The problem I have with most ai or game theory books is that they assume you have a math undergrad or grad degree. I come from an applied arts (design) background and this book was really helpful for getting my head around the basics of ai algorithms. Some of the explanations were lacking completeness and the author doesn't clearly tie the last two chapters to the rest of the book with concrete examples. There are some formatting issues and errors in the book. However, the way most of the concepts were explained led me to order the next two books in the series in hopes of getting a few more valuable nuggets of understanding that many other books have failed to provide.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #3,028,577 in Books ( See Top 100 in Books ) #2,374 in Artificial Intelligence (Books) #4,890 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.0 out of 5 stars 253 Reviews |

## Images

![Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms - Image 1](https://m.media-amazon.com/images/I/61W501TRAmL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Succinct, Pithy Overview: Puts "Data Science" Books To Shame!
*by S***E on April 3, 2016*

This book has been excellent. I am an experienced practitioner, but am new to artificial intelligence, so I needed a book that would know what I didn't know that I didn't know, and explain it to me. This book is amazingly on-topic and to-the-point - I felt as if it were some sort of knowledge concentrate, there was so much information in each chapter. Am now reading the second book in the series :). Re "Data Science", I have been designing a system to feed ginat quantities of data to data scientists, so I thought I should know better what, in fact, "data science" was, so I bought some books. Most of the machine learning and modeling are actually the same, but this book explained in a few hundred pages what the data science books struggled to, in aggregate, in over a thousand pages! (I was blaming myself, until I read this book, in fact, since when ten external sources say you're wrong, and you say you're right, you're probably wrong :))

### ⭐⭐⭐⭐ A few issues, but really helpful overall
*by P***P on February 21, 2017*

This book generally does a good job of not assuming prior math / notation knowledge. The problem I have with most ai or game theory books is that they assume you have a math undergrad or grad degree. I come from an applied arts (design) background and this book was really helpful for getting my head around the basics of ai algorithms. Some of the explanations were lacking completeness and the author doesn't clearly tie the last two chapters to the rest of the book with concrete examples. There are some formatting issues and errors in the book. However, the way most of the concepts were explained led me to order the next two books in the series in hopes of getting a few more valuable nuggets of understanding that many other books have failed to provide.

### ⭐⭐⭐ A Basic Introduction to Machine Learning
*by D***R on January 27, 2016*

This book claims to be an overview of artificial intelligence, but it’s not; it’s an overview of machine learning. It’s true that machine learning is a hot topic within AI just now, but it's hardly taken over the field, nor has it rendered all other methods obsolete. But, if you just want an informal introduction to the basic forms of machine learning, it's short and easy to read. The rubber never quite meets the road, but if all you need is the basic concepts, it's not a bad start. It does, however, contain errors that really should have been caught prior to publication. In addition to the errors mentioned by another reviewer, the references to equations 10.2 through 10.4 are wrong, and the description of the logistic function shown in Figure 10.3 doesn’t match the function shown. The notation specifies the curve as going from 0 to , but it is drawn from 1 to 0, which is backward from what the author intended. Also, the curve is described in the text as a logit function, which the author seems to confuse with the logistic. They both has S shapes, but they are very different things with different roles to play in terms of how they bound their values. To put it graphically, the S of a logit is horizontal, with the tails extending up and down, not vertical with tails to the left and right as shown in the figure.

## Frequently Bought Together

- Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
- Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms
- Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

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*Last updated: 2026-05-21*