Data Mining: Practical Machine Learning Tools and Techniques

The front page is featuring wrongly as geophysics.

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.

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.

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.

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.