Topic Answers Author Views
Listing 3.3 in calculating SubDataSet and probability 1 478706 126
Chp5 logistic regression, why append 0th feather X0? 0 474349 121
add. exercises/problems for Machine Learning in Action 1 405316 742
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 105
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2481
Listing 2.2 1 452752 434
Typing error on page 28 0 450973 222
Curious how figure 5.6 was generated 0 Richard Cook 229
Section 4.5.2, page 70 2 aroc725 1024
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1184
In chapter 2.3.2 0 398191 412
set(dataSet[:,featIndex])? 0 389959 659
Ch 9. Tree-based regression. 0 384907 434
Is the voting logic in Listing 2.1 correct? 1 Raj 461
Errors and Corrections 86 mato 22679
Linear Regression 0 357143 473
code of stocGradAscent1 function in chapter 5 0 352354 555
Value Error on Page 26 1 Pirate9 888
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 487
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 574
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 537
To Peter Harrington 0 Mariswamy 828
Running mrSVM.py example on hadoop 0 t4ng0 1239
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 907
NCAA Basketball prediction 0 peter.harrington 765
Types of Machine Learning problems 0 pavani.reddy 764
chapter five logistic regression:a small question 1 david robben 962
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 680
Co-occurance of words 1 arindamb 852
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1531
Machine learning algorithm for numerical value estimation 1 Sam Al 924
Zip file with source code appears to be corrupt 2 pondus 1290
kMeans question 0 unkn0wn 1077
how to add a legend to the scatter plot? 1 zhaomingzhen 1085
Navie Baynes Classifier - multi-class 0 Josh_newnham 967
Bayes Theorem Incomplete Formula 0 akhil 852
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 774
adaboost features selection from large pool 0 amd_best 784
Adaboost feature selection 0 Median 1008
Machine Learning APIs 0 ismaelc 843
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 877
Listing 3.1 0 xplorer4us 822
What is 45 problem? 1 wbxjj2008 1532
Improving CART decision tree learning algorithm 0 p_marini 938
listing 5.2 1 Irwin 831
Supervised Learning 0 yatici 731
Listing 3.3 question about calculation 1 Irwin 1140
Listing 4.2 2 sculpturearts 982
Thanks for your help making 2012 a great year 0 peter.harrington 844
Listing 3.4 1 sambaam 849
Array error code pag. 28 2 sdebeer 1248
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1278
Error in classification 1 sambaam 796
Errata on Github 0 peter.harrington 789
Reinforcement learning for power management 1 umair 1134
Chapter about scalable machine learning 0 Pablo07 864
Gradient Ascent / Descent 0 flopezluis 799
Converting code into F# / copyright 0 Mathias 869
Don't try to use Windows 64bit Python with this book 0 jbrown123 2004
References for academic journals 1 Chrilly 1133
prior probablities for naive Bayes. 0 chadcc 971
Some comments 1 arunr 992
chapter 11 vote smart 2 mdszekeres 1512
Chapter 10 Error in kMeans.py 7 bob_hancock 2031
2.2.1 code editing 2 mdszekeres 1558
chapter 14 0 di01 865
ignore pls. 0 pat w 1000
error in using int(char) in kNN/file2matrix() 4 pat w 2230
Listing 2.1 Clarification 1 telescope7 2054
Error in Listing 2.1 0 jaywalker76 1135
Listing 2.2 Error 19 alanav 8744
Ebook formats? 3 retnuH 1640
Regression 1 RazerWolf 1101
Mistakes in the association analysis chapters 3 apfelbox 1883
The Expectation Maximization Chapter... 4 pado 1821
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1654
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1814
2.2.1 datingTestSet.txt 1 epios 4414
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1677
Page 330 a new bucket called: rustbucket. 1 edtruji 1386
misspelling page 69 0 acgrimes 961
Stanford offering free online course in Machine Learning 0 dwschulze 1722
Will the libs required for the example code work with Python 3? 2 dwschulze 1599
The Larger Errors in Chapter 2 2 danielzingaro 1794
Laboriously Explaining the kNN Code 6 danielzingaro 4450
pdf bookmarks view properties 0 shoe 993
minor error in example 1 sebastian_sohr 1123
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1195
Hierarchical Clustering? 1 seth 1426
Confusing sentance in Chap 1 1 retnuH 1185
Machine Learning with C# 2 Bruce Jasper 2481
Suggestion for numpy usage 1 jsaryer 1382
Gradient ascent or descent 0 jmgimeno 1375
Page 69: bayessian example 1 jmgimeno 1225
Listing 3.9 1 jmgimeno 1553
Listing 3.8 1 jmgimeno 1244
Python style 1 jmgimeno 1746
Font for python code on iPad 4 jmgimeno 2354
Source code now on Github 0 peter.harrington 1423
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1777