Amazon Most Wished For
Our products most often added to Wishlists and Registries. Updated daily.

Most Wished For in Data Mining

81.
Building Algorithmic Trading Systems:...
Kindle Edition
CDN$ 57.18
82.
Agile Analytics: A Value-Driven Appro...
Paperback
CDN$ 51.99 CDN$ 32.75
26 used & new from CDN$ 30.54
83.
iPhone: The Missing Manual
Paperback
CDN$ 26.99 CDN$ 24.29
26 used & new from CDN$ 22.51
84.
Microsoft Access 2010 Inside Out
5.0 out of 5 stars   (2)
Paperback
CDN$ 57.99 CDN$ 36.36
23 used & new from CDN$ 36.36
85.
Microsoft Access 2013 Inside Out
Paperback
CDN$ 52.99 CDN$ 33.22
34 used & new from CDN$ 33.22
86.
SQL Cookbook
Paperback
CDN$ 55.95 CDN$ 26.30
29 used & new from CDN$ 26.30
88.
R in Action: Data Analysis and Graphi...
Publication Date: March 3 2015
Paperback
CDN$ 62.99 CDN$ 50.39
89.
Graph Databases
Paperback
32 used & new from CDN$ 22.69
90.
Tableau 8: The Official Guide
Paperback
CDN$ 41.95 CDN$ 26.30
32 used & new from CDN$ 22.73
91.
Data Mining and Knowledge Discovery f...
Kindle Edition
CDN$ 86.41
92.
Visualizing Data with Microsoft Power...
Paperback
CDN$ 31.95 CDN$ 20.03
26 used & new from CDN$ 20.02
93.
Big Data For Dummies
Paperback
CDN$ 35.99 CDN$ 18.00
34 used & new from CDN$ 11.50
94.
Big Data Analytics: Turning Big Data...
Hardcover
CDN$ 59.95 CDN$ 37.58
34 used & new from CDN$ 9.06
95.
Microsoft SQL Server 2012 Analysis Se...
Paperback
CDN$ 62.99 CDN$ 39.49
31 used & new from CDN$ 39.49
96.
Data Mining Techniques: For Marketing...
Paperback
CDN$ 60.00 CDN$ 37.62
36 used & new from CDN$ 30.00
97.
Better, Faster, Lighter Java
Paperback
CDN$ 36.99 CDN$ 23.16
36 used & new from CDN$ 0.01
98.
Analyzing Baseball Data with R
Paperback
CDN$ 45.61 CDN$ 37.07
17 used & new from CDN$ 37.07
99.
R in a Nutshell: A Desktop Quick Refe...
Paperback
10 used & new from CDN$ 44.31
100.
Foundations of Predictive Analytics
Hardcover
CDN$ 107.25 CDN$ 86.03
18 used & new from CDN$ 86.03
close Sample

About Most Wished For in Data Mining

These lists, updated daily, contain items most often added to Wish Lists and registries.

More to Explore in Data Mining