Topic Answers Author Views
Section 4.5.2, page 70 2 aroc725 846
add. exercises/problems for Machine Learning in Action 0 405316 392
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 965
In chapter 2.3.2 0 398191 207
set(dataSet[:,featIndex])? 0 389959 385
Ch 9. Tree-based regression. 0 384907 297
Is the voting logic in Listing 2.1 correct? 1 Raj 275
Errors and Corrections 86 mato 20830
Linear Regression 0 357143 339
code of stocGradAscent1 function in chapter 5 0 352354 373
Value Error on Page 26 1 Pirate9 673
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 303
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 453
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 414
To Peter Harrington 0 Mariswamy 648
Running mrSVM.py example on hadoop 0 t4ng0 951
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 768
NCAA Basketball prediction 0 peter.harrington 630
Types of Machine Learning problems 0 pavani.reddy 602
chapter five logistic regression:a small question 1 david robben 827
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 563
Co-occurance of words 1 arindamb 718
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1350
Machine learning algorithm for numerical value estimation 1 Sam Al 786
Zip file with source code appears to be corrupt 2 pondus 1136
kMeans question 0 unkn0wn 942
how to add a legend to the scatter plot? 1 zhaomingzhen 965
Navie Baynes Classifier - multi-class 0 Josh_newnham 858
Bayes Theorem Incomplete Formula 0 akhil 722
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 636
adaboost features selection from large pool 0 amd_best 656
Adaboost feature selection 0 Median 885
Machine Learning APIs 0 ismaelc 722
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 731
Listing 3.1 0 xplorer4us 657
What is 45 problem? 1 wbxjj2008 1329
Improving CART decision tree learning algorithm 0 p_marini 790
listing 5.2 1 Irwin 704
Supervised Learning 0 yatici 615
Listing 3.3 question about calculation 1 Irwin 1003
Listing 4.2 2 sculpturearts 836
Thanks for your help making 2012 a great year 0 peter.harrington 704
Listing 3.4 1 sambaam 707
Array error code pag. 28 2 sdebeer 1009
Function adaClassify in Listing 7.3 issues an error 3 p_marini 994
Error in classification 1 sambaam 676
Errata on Github 0 peter.harrington 676
Reinforcement learning for power management 1 umair 1010
Chapter about scalable machine learning 0 Pablo07 737
Gradient Ascent / Descent 0 flopezluis 690
Converting code into F# / copyright 0 Mathias 767
Don't try to use Windows 64bit Python with this book 0 jbrown123 1872
References for academic journals 1 Chrilly 1004
prior probablities for naive Bayes. 0 chadcc 846
Some comments 1 arunr 875
chapter 11 vote smart 2 mdszekeres 1345
Chapter 10 Error in kMeans.py 7 bob_hancock 1800
2.2.1 code editing 2 mdszekeres 1380
chapter 14 0 di01 736
ignore pls. 0 pat w 872
error in using int(char) in kNN/file2matrix() 4 pat w 1910
Listing 2.1 Clarification 1 telescope7 1746
Error in Listing 2.1 0 jaywalker76 1005
Listing 2.2 Error 19 alanav 7883
Ebook formats? 3 retnuH 1474
Regression 1 RazerWolf 986
Mistakes in the association analysis chapters 3 apfelbox 1743
The Expectation Maximization Chapter... 4 pado 1687
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1536
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1682
2.2.1 datingTestSet.txt 1 epios 3885
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1537
Page 330 a new bucket called: rustbucket. 1 edtruji 1265
misspelling page 69 0 acgrimes 836
Stanford offering free online course in Machine Learning 0 dwschulze 1597
Will the libs required for the example code work with Python 3? 2 dwschulze 1471
The Larger Errors in Chapter 2 2 danielzingaro 1667
Laboriously Explaining the kNN Code 6 danielzingaro 3845
pdf bookmarks view properties 0 shoe 882
minor error in example 1 sebastian_sohr 1005
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1079
Hierarchical Clustering? 1 seth 1306
Confusing sentance in Chap 1 1 retnuH 1060
Machine Learning with C# 2 Bruce Jasper 2316
Suggestion for numpy usage 1 jsaryer 1259
Gradient ascent or descent 0 jmgimeno 1246
Page 69: bayessian example 1 jmgimeno 1098
Listing 3.9 1 jmgimeno 1408
Listing 3.8 1 jmgimeno 1110
Python style 1 jmgimeno 1582
Font for python code on iPad 4 jmgimeno 2190
Source code now on Github 0 peter.harrington 1268
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1659
Iron Python 2 LOlsen 1732
Role of ontologies in machine learning 1 ronatartifact 1431
Listing 2.1 confusion 1 shahbazc@gmail.com 1350
Watson on Jeopardy! Read and discuss! 0 mato 1137
Possible Mistake In Section 1.2 1 jmwright 1099
New MEAP arriving soon! 5 mato 2221
Data Sets 4 peter.harrington 2232