

Buy Machine Learning: The New AI by Alpaydin, Ethem online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: 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. Review: For understanding of machine learning even to a common person.
| Best Sellers Rank | #295,933 in Books ( See Top 100 in Books ) #374 in Engineering Reference #1,225 in Technology #1,965 in Computer Science |
| Customer reviews | 4.2 4.2 out of 5 stars (187) |
| Dimensions | 13.03 x 1.22 x 17.78 cm |
| Edition | Latest Edition |
| ISBN-10 | 0262529513 |
| ISBN-13 | 978-0262529518 |
| Item weight | 204 g |
| Language | English |
| Print length | 224 pages |
| Publication date | 7 October 2016 |
| Publisher | MIT Press |
| Reading age | 18 years and up |
M**E
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.
D**U
For understanding of machine learning even to a common person.
C**B
It felt a bit self-indulgent, not clearly written. The content is great and the authors are knowledgeable but this isn’t accessible entry-level information. YouTube videos were much more helpful.
D**R
If you are looking for a brief overview of what Machine Learning is all about and a beginners level explanation of a number of the most common algorithms used, then this book is for you; it assisted in me getting a basic understanding of the subject, before I started a Machine Learning module. This book just introduces the discipline, it is not aimed at ML practitioners. A good introduction to a complicated, but essential, subject.
A**A
Worst book ever, even if they give me this book for free, i will throw it
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