Topic Answers Author Views
Listing 3.3 in calculating SubDataSet and probability 1 478706 22
Chp5 logistic regression, why append 0th feather X0? 0 474349 92
add. exercises/problems for Machine Learning in Action 1 405316 682
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 65
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2279
Listing 2.2 1 452752 357
Typing error on page 28 0 450973 178
Curious how figure 5.6 was generated 0 Richard Cook 196
Section 4.5.2, page 70 2 aroc725 1002
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1149
In chapter 2.3.2 0 398191 377
set(dataSet[:,featIndex])? 0 389959 615
Ch 9. Tree-based regression. 0 384907 409
Is the voting logic in Listing 2.1 correct? 1 Raj 423
Errors and Corrections 86 mato 22148
Linear Regression 0 357143 455
code of stocGradAscent1 function in chapter 5 0 352354 508
Value Error on Page 26 1 Pirate9 851
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 457
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 553
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 525
To Peter Harrington 0 Mariswamy 803
Running mrSVM.py example on hadoop 0 t4ng0 1157
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 882
NCAA Basketball prediction 0 peter.harrington 747
Types of Machine Learning problems 0 pavani.reddy 747
chapter five logistic regression:a small question 1 david robben 948
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 665
Co-occurance of words 1 arindamb 830
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1497
Machine learning algorithm for numerical value estimation 1 Sam Al 907
Zip file with source code appears to be corrupt 2 pondus 1268
kMeans question 0 unkn0wn 1056
how to add a legend to the scatter plot? 1 zhaomingzhen 1071
Navie Baynes Classifier - multi-class 0 Josh_newnham 953
Bayes Theorem Incomplete Formula 0 akhil 830
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 748
adaboost features selection from large pool 0 amd_best 764
Adaboost feature selection 0 Median 984
Machine Learning APIs 0 ismaelc 825
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 853
Listing 3.1 0 xplorer4us 784
What is 45 problem? 1 wbxjj2008 1489
Improving CART decision tree learning algorithm 0 p_marini 914
listing 5.2 1 Irwin 817
Supervised Learning 0 yatici 718
Listing 3.3 question about calculation 1 Irwin 1125
Listing 4.2 2 sculpturearts 955
Thanks for your help making 2012 a great year 0 peter.harrington 827
Listing 3.4 1 sambaam 831
Array error code pag. 28 2 sdebeer 1201
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1230
Error in classification 1 sambaam 775
Errata on Github 0 peter.harrington 778
Reinforcement learning for power management 1 umair 1114
Chapter about scalable machine learning 0 Pablo07 841
Gradient Ascent / Descent 0 flopezluis 783
Converting code into F# / copyright 0 Mathias 854
Don't try to use Windows 64bit Python with this book 0 jbrown123 1988
References for academic journals 1 Chrilly 1113
prior probablities for naive Bayes. 0 chadcc 952
Some comments 1 arunr 974
chapter 11 vote smart 2 mdszekeres 1485
Chapter 10 Error in kMeans.py 7 bob_hancock 1971
2.2.1 code editing 2 mdszekeres 1533
chapter 14 0 di01 849
ignore pls. 0 pat w 982
error in using int(char) in kNN/file2matrix() 4 pat w 2158
Listing 2.1 Clarification 1 telescope7 1981
Error in Listing 2.1 0 jaywalker76 1118
Listing 2.2 Error 19 alanav 8588
Ebook formats? 3 retnuH 1605
Regression 1 RazerWolf 1084
Mistakes in the association analysis chapters 3 apfelbox 1849
The Expectation Maximization Chapter... 4 pado 1804
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1635
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1793
2.2.1 datingTestSet.txt 1 epios 4298
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1655
Page 330 a new bucket called: rustbucket. 1 edtruji 1366
misspelling page 69 0 acgrimes 946
Stanford offering free online course in Machine Learning 0 dwschulze 1701
Will the libs required for the example code work with Python 3? 2 dwschulze 1578
The Larger Errors in Chapter 2 2 danielzingaro 1766
Laboriously Explaining the kNN Code 6 danielzingaro 4278
pdf bookmarks view properties 0 shoe 975
minor error in example 1 sebastian_sohr 1105
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1181
Hierarchical Clustering? 1 seth 1408
Confusing sentance in Chap 1 1 retnuH 1165
Machine Learning with C# 2 Bruce Jasper 2448
Suggestion for numpy usage 1 jsaryer 1363
Gradient ascent or descent 0 jmgimeno 1357
Page 69: bayessian example 1 jmgimeno 1209
Listing 3.9 1 jmgimeno 1538
Listing 3.8 1 jmgimeno 1230
Python style 1 jmgimeno 1724
Font for python code on iPad 4 jmgimeno 2331
Source code now on Github 0 peter.harrington 1400
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1760