Topic Answers Author Views
add. exercises/problems for Machine Learning in Action 0 405316 217
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 920
In chapter 2.3.2 0 398191 153
set(dataSet[:,featIndex])? 0 389959 286
Ch 9. Tree-based regression. 0 384907 253
Is the voting logic in Listing 2.1 correct? 1 Raj 239
Errors and Corrections 86 mato 20488
Linear Regression 0 357143 310
code of stocGradAscent1 function in chapter 5 0 352354 342
Value Error on Page 26 1 Pirate9 620
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 274
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 424
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 389
To Peter Harrington 0 Mariswamy 619
Running mrSVM.py example on hadoop 0 t4ng0 899
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 733
NCAA Basketball prediction 0 peter.harrington 595
Types of Machine Learning problems 0 pavani.reddy 577
chapter five logistic regression:a small question 1 david robben 794
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 534
Co-occurance of words 1 arindamb 680
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1290
Machine learning algorithm for numerical value estimation 1 Sam Al 762
Zip file with source code appears to be corrupt 2 pondus 1106
kMeans question 0 unkn0wn 912
how to add a legend to the scatter plot? 1 zhaomingzhen 930
Navie Baynes Classifier - multi-class 0 Josh_newnham 829
Bayes Theorem Incomplete Formula 0 akhil 699
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 608
adaboost features selection from large pool 0 amd_best 635
Adaboost feature selection 0 Median 860
Machine Learning APIs 0 ismaelc 696
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 699
Listing 3.1 0 xplorer4us 622
What is 45 problem? 1 wbxjj2008 1281
Improving CART decision tree learning algorithm 0 p_marini 757
listing 5.2 1 Irwin 671
Supervised Learning 0 yatici 594
Listing 3.3 question about calculation 1 Irwin 970
Listing 4.2 2 sculpturearts 786
Thanks for your help making 2012 a great year 0 peter.harrington 661
Listing 3.4 1 sambaam 676
Array error code pag. 28 2 sdebeer 943
Function adaClassify in Listing 7.3 issues an error 3 p_marini 900
Error in classification 1 sambaam 635
Errata on Github 0 peter.harrington 642
Section 4.5.2, page 70 1 aroc725 794
Reinforcement learning for power management 1 umair 975
Chapter about scalable machine learning 0 Pablo07 710
Gradient Ascent / Descent 0 flopezluis 665
Converting code into F# / copyright 0 Mathias 742
Don't try to use Windows 64bit Python with this book 0 jbrown123 1841
References for academic journals 1 Chrilly 972
prior probablities for naive Bayes. 0 chadcc 818
Some comments 1 arunr 847
chapter 11 vote smart 2 mdszekeres 1284
Chapter 10 Error in kMeans.py 7 bob_hancock 1738
2.2.1 code editing 2 mdszekeres 1333
chapter 14 0 di01 703
ignore pls. 0 pat w 848
error in using int(char) in kNN/file2matrix() 4 pat w 1826
Listing 2.1 Clarification 1 telescope7 1681
Error in Listing 2.1 0 jaywalker76 977
Listing 2.2 Error 19 alanav 7616
Ebook formats? 3 retnuH 1436
Regression 1 RazerWolf 960
Mistakes in the association analysis chapters 3 apfelbox 1705
The Expectation Maximization Chapter... 4 pado 1648
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1507
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1648
2.2.1 datingTestSet.txt 1 epios 3713
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1493
Page 330 a new bucket called: rustbucket. 1 edtruji 1230
misspelling page 69 0 acgrimes 810
Stanford offering free online course in Machine Learning 0 dwschulze 1559
Will the libs required for the example code work with Python 3? 2 dwschulze 1431
The Larger Errors in Chapter 2 2 danielzingaro 1619
Laboriously Explaining the kNN Code 6 danielzingaro 3670
pdf bookmarks view properties 0 shoe 854
minor error in example 1 sebastian_sohr 969
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1043
Hierarchical Clustering? 1 seth 1270
Confusing sentance in Chap 1 1 retnuH 1028
Machine Learning with C# 2 Bruce Jasper 2269
Suggestion for numpy usage 1 jsaryer 1222
Gradient ascent or descent 0 jmgimeno 1200
Page 69: bayessian example 1 jmgimeno 1054
Listing 3.9 1 jmgimeno 1359
Listing 3.8 1 jmgimeno 1062
Python style 1 jmgimeno 1516
Font for python code on iPad 4 jmgimeno 2129
Source code now on Github 0 peter.harrington 1234
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1621
Iron Python 2 LOlsen 1681
Role of ontologies in machine learning 1 ronatartifact 1388
Listing 2.1 confusion 1 shahbazc@gmail.com 1309
Watson on Jeopardy! Read and discuss! 0 mato 1101
Possible Mistake In Section 1.2 1 jmwright 1059
New MEAP arriving soon! 5 mato 2166
Data Sets 4 peter.harrington 2181