---
product_id: 34832317
title: "Machine Learning: The New AI (The MIT Press Essential Knowledge series) Paperback – October 7, 2016"
brand: "ethem alpaydin"
price: "641515₫"
currency: VND
in_stock: true
reviews_count: 8
url: https://www.desertcart.vn/products/34832317-machine-learning-the-new-ai-the-mit-press-essential-knowledge
store_origin: VN
region: Vietnam
---

# Machine Learning: The New AI (The MIT Press Essential Knowledge series) Paperback – October 7, 2016

**Brand:** ethem alpaydin
**Price:** 641515₫
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Machine Learning: The New AI (The MIT Press Essential Knowledge series) Paperback – October 7, 2016 by ethem alpaydin
- **How much does it cost?** 641515₫ with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.vn](https://www.desertcart.vn/products/34832317-machine-learning-the-new-ai-the-mit-press-essential-knowledge)

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- ethem alpaydin enthusiasts

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## Description

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## Customer Reviews

### ⭐⭐⭐⭐⭐ tackling a really complex and "hot" subject in a philosophical way
*by M***E on March 5, 2020*

The author tackles machine learning from a very philosophical slant. I think this is a pretty strange approach for a subject that a very broad spectrum of people are curious about. On the other hand, if you have a fairly decent technical, mathematical and scientific background as I have, a fairly fluffy technical discussion with a good philosophical perspective is satisfactory. I think that writing a mass paperback on machine learning is a tough sell from the philosophical approach, which many (especially those who want to jump on the job bandwagon in data science) will certainly find unhelpful. I liked, actually, the fairly superficial discussions of numerous fairly up-to-date technologies in machine learning. I do not fool myself, however. It is also necessary to have at least some knowledge of the more technical, mathematical aspects, as in Alpaydin's machine learning text that this short paperback was, to some extent, drawing on. I recommend this book if you want a quick, superficial tour of relatively modern machine learning technology. It is obviously a book of no or little interest to the pro, undergrad major or grad student in related areas of data science. I suspect a fairly good audience would be freshman or high school students interested in machine learning.

### ⭐⭐⭐⭐ Machine learning is based on probability theory
*by D***S on January 25, 2018*

A clear and concise overview of Machine Learning. I always wondered how AI could determine so many of our wants and desires before we knew them ourselves. Turns out it's all based on probability. What we want is based on how we match up with what others want. If a person likes or buys A, B, and C then we are offered what others desired after they also bought A, B and C. Now I know why some of the suggestions are spot on and others are completely off. The more you hew to the "normal" the better your recommendations will meet your expectations. Machine Learning tends to standardize our likes and dislikes, reinforcing our already formulated ideas.

### ⭐⭐⭐⭐⭐ Great book
*by B***Y on April 6, 2018*

Phenomenal book. The author does a great job of making complicated concepts simple. One criticism is the author writes a lot in passive voice. However, the book does a great job of explaining machine learning.

## Frequently Bought Together

- Machine Learning: The New AI (The MIT Press Essential Knowledge series)
- Deep Learning (The MIT Press Essential Knowledge series)

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*Last updated: 2026-03-12*