Topic Answers Author Views
Listing 2.2 1 452752 124
Typing error on page 28 0 450973 72
Curious how figure 5.6 was generated 0 436370 131
Section 4.5.2, page 70 2 aroc725 933
add. exercises/problems for Machine Learning in Action 0 405316 490
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1050
In chapter 2.3.2 0 398191 287
set(dataSet[:,featIndex])? 0 389959 498
Ch 9. Tree-based regression. 0 384907 346
Is the voting logic in Listing 2.1 correct? 1 Raj 334
Errors and Corrections 86 mato 21253
Linear Regression 0 357143 396
code of stocGradAscent1 function in chapter 5 0 352354 422
Value Error on Page 26 1 Pirate9 762
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 364
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 500
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 472
To Peter Harrington 0 Mariswamy 714
Running mrSVM.py example on hadoop 0 t4ng0 1022
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 824
NCAA Basketball prediction 0 peter.harrington 677
Types of Machine Learning problems 0 pavani.reddy 668
chapter five logistic regression:a small question 1 david robben 888
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 617
Co-occurance of words 1 arindamb 774
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1418
Machine learning algorithm for numerical value estimation 1 Sam Al 843
Zip file with source code appears to be corrupt 2 pondus 1189
kMeans question 0 unkn0wn 1002
how to add a legend to the scatter plot? 1 zhaomingzhen 1016
Navie Baynes Classifier - multi-class 0 Josh_newnham 910
Bayes Theorem Incomplete Formula 0 akhil 776
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 691
adaboost features selection from large pool 0 amd_best 715
Adaboost feature selection 0 Median 936
Machine Learning APIs 0 ismaelc 772
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 784
Listing 3.1 0 xplorer4us 704
What is 45 problem? 1 wbxjj2008 1401
Improving CART decision tree learning algorithm 0 p_marini 847
listing 5.2 1 Irwin 762
Supervised Learning 0 yatici 668
Listing 3.3 question about calculation 1 Irwin 1063
Listing 4.2 2 sculpturearts 896
Thanks for your help making 2012 a great year 0 peter.harrington 777
Listing 3.4 1 sambaam 776
Array error code pag. 28 2 sdebeer 1097
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1091
Error in classification 1 sambaam 733
Errata on Github 0 peter.harrington 730
Reinforcement learning for power management 1 umair 1063
Chapter about scalable machine learning 0 Pablo07 790
Gradient Ascent / Descent 0 flopezluis 739
Converting code into F# / copyright 0 Mathias 815
Don't try to use Windows 64bit Python with this book 0 jbrown123 1934
References for academic journals 1 Chrilly 1053
prior probablities for naive Bayes. 0 chadcc 903
Some comments 1 arunr 927
chapter 11 vote smart 2 mdszekeres 1408
Chapter 10 Error in kMeans.py 7 bob_hancock 1880
2.2.1 code editing 2 mdszekeres 1456
chapter 14 0 di01 792
ignore pls. 0 pat w 927
error in using int(char) in kNN/file2matrix() 4 pat w 2009
Listing 2.1 Clarification 1 telescope7 1842
Error in Listing 2.1 0 jaywalker76 1065
Listing 2.2 Error 19 alanav 8175
Ebook formats? 3 retnuH 1539
Regression 1 RazerWolf 1038
Mistakes in the association analysis chapters 3 apfelbox 1802
The Expectation Maximization Chapter... 4 pado 1751
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1584
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1744
2.2.1 datingTestSet.txt 1 epios 4050
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1601
Page 330 a new bucket called: rustbucket. 1 edtruji 1316
misspelling page 69 0 acgrimes 891
Stanford offering free online course in Machine Learning 0 dwschulze 1649
Will the libs required for the example code work with Python 3? 2 dwschulze 1522
The Larger Errors in Chapter 2 2 danielzingaro 1712
Laboriously Explaining the kNN Code 6 danielzingaro 3996
pdf bookmarks view properties 0 shoe 932
minor error in example 1 sebastian_sohr 1058
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1131
Hierarchical Clustering? 1 seth 1349
Confusing sentance in Chap 1 1 retnuH 1112
Machine Learning with C# 2 Bruce Jasper 2374
Suggestion for numpy usage 1 jsaryer 1319
Gradient ascent or descent 0 jmgimeno 1301
Page 69: bayessian example 1 jmgimeno 1150
Listing 3.9 1 jmgimeno 1480
Listing 3.8 1 jmgimeno 1165
Python style 1 jmgimeno 1646
Font for python code on iPad 4 jmgimeno 2262
Source code now on Github 0 peter.harrington 1328
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1713
Iron Python 2 LOlsen 1789
Role of ontologies in machine learning 1 ronatartifact 1484
Listing 2.1 confusion 1 shahbazc@gmail.com 1405
Watson on Jeopardy! Read and discuss! 0 mato 1189