Very easy to read and follow book for beginners to the subject. I have tried many other texts to get introduced to data mining, all of other texts discuss theories in abstract way without giving helpful examples.
Unlike most technical books, this is very well written. Generally it was very clear and the information was presented in an interesting way.
The author has somehow written a detailed, insightful book on decision trees without any serious mathematics, using only simple examples. Each algorithm is introduced through a small example.
Max Huber
Max Costa
Max Beckmann
Max Egremont
Max Lucado
Max Booth III
Max Ulmann
Max J. Skidmore
Max Hoven
Max Gladstone
Max M. Houck
Max Waters
Max Olivetti
Caroline Walker; Max Rambaldi
Max Brand [pseudonym]
Max Woltman
Max Brallier
Max Brand [pseudonym]
Max Brand
Max Lucado
Max Schleser
Max Brand
Max Lucado
Max Garland
Max Seeck
Max Blumenthal
Max Lucado
Max Hastings
Max Brand
Max Smeets
Max Brand [pseudonym]
Max Blecher
Max Ulmann
Max Brand [pseudonym]
Max Leventhal
Max Lucado
Max Nicolai Appenroth
Max Steinmetz
Max Brand
Max Alvarez
Max Dickins
Max Rauchenberger
Max Ulmann
Max Cahill
Max Brand
Max Brand
Max Brand [pseudonym]
Max Drewitt
Max Brown
Jerry Jackson
Brian Rowe
Obie Fernandez
Horton, John
Dirk Speelman
Howard Bowman
Matt Neuburg
Jürgen Reichardt
Pasquale Arpaia
Galina Filipuk
Rob Whitaker
Dingyü Xue
Vincent Sesto
Pramote Dechaumphai
Bruce Grimley
Steven F. Lott
Anna Anthropy
Michael Voss
Tobias Heussner
Subrata Ray
Michael Matthew Messina
Jacob Batchelor
Kirsty Holmes
Alvaro Scrivano
Sheela Preuitt
Fenwick McKelvey
Michael Matthew Messina
Brais Brenlla Ramos
Marcos Singer
Jacques Mohcine Bahi
Camille McCue
Sebastien Le
R. Becker
Göran Broström
Caroline Karanja
Nick Montfort
Kiki Prottsman
Glen McBeth
Sumanta Guha
Risto Gladden
Caroline Karanja
Joseph Schmuller
Camille McCue
Tolga Soyata
John Mongan
Tolga Soyata
Hana Chockler
Michael Lawrence
Heather C. Hudak
Keye Martin
Sarah Hutt
Ian Millington
Kazuhiro Abe
Mary K. Pratt