










Buy Data Mining: Practical Machine Learning Tools and Techniques 4 by Witten, Ian H., Frank, Eibe, Hall, Mark A., Pal, Christopher J. (ISBN: 9780128042915) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders. Review: Easy to read & follow content - One of the best on Data mining. Review: Good detail easy referencing. - Very detailed. Useful for reference. Only starting my journey in data mining but still useful and informative.
| Best Sellers Rank | 890,320 in Books ( See Top 100 in Books ) 34 in Database Management Systems (Books) 36 in Data Mining (Books) 124 in Computer Information Systems |
| Customer reviews | 4.2 4.2 out of 5 stars (132) |
| Dimensions | 19.05 x 3.76 x 23.5 cm |
| Edition | 4th |
| ISBN-10 | 0128042915 |
| ISBN-13 | 978-0128042915 |
| Item weight | 1.05 kg |
| Language | English |
| Part of series | The Morgan Kaufmann Series in Data Management Systems |
| Print length | 654 pages |
| Publication date | 22 Dec. 2016 |
| Publisher | Morgan Kaufmann |
M**M
Easy to read & follow content
One of the best on Data mining.
D**K
Good detail easy referencing.
Very detailed. Useful for reference. Only starting my journey in data mining but still useful and informative.
C**S
Poorly written with sentence structures all over the place.
Very poorly written. The sentence structures are all over the place. I had a terrible time reading this, and had to feel entire passages into Grok to make sense of it. The text jumps around a lot, often referring to images or tables in bygone chapters. It just feels like it was written by several people and cobbled together, and reads as though it was originally written in another language and then translated (badly) to English.
E**O
Poor -
Very poorly written book - un-necessaryily complicated to read and not good at explaining concepts
R**N
The front page is featuring wrongly as geophysics.
R**7
I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone.
H**O
lo compré porque pensaba que la parte de deep learning estaba bien explicada, pero es similar a las versiones anteriores, en el sentido de que es demasiado practico, lo único realmente nuevo es el capítulo 9 de metodos probabilisticos.
A**R
The book was in great condition. I wish it had a hard cover though. If you want to learn about data mininh (I had to buy this book for an advanced data mining course) I would NOT recommend this book. The content is really of poor quality. Please do NOT use this book in your classes, just waste of money for students.
L**E
I had to get this for my data mining course however there is extremely little value and almost everything I have learnt has been through finding someone else to explain what this book fails to explain in a comprehensible way. Definitely would not recommend if you can avoid it.
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