Topic Answers Author Views
Linear Regression (Ch 8, pg 157) 0 475981 118
Listing 3.3 in calculating SubDataSet and probability 1 478706 203
Chp5 logistic regression, why append 0th feather X0? 0 474349 159
add. exercises/problems for Machine Learning in Action 1 405316 824
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 136
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2545
Listing 2.2 1 452752 490
Typing error on page 28 0 450973 264
Curious how figure 5.6 was generated 0 Richard Cook 272
Section 4.5.2, page 70 2 aroc725 1081
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1240
In chapter 2.3.2 0 398191 452
set(dataSet[:,featIndex])? 0 389959 707
Ch 9. Tree-based regression. 0 384907 461
Is the voting logic in Listing 2.1 correct? 1 Raj 518
Errors and Corrections 86 mato 23299
Linear Regression 0 357143 503
code of stocGradAscent1 function in chapter 5 0 352354 576
Value Error on Page 26 1 Pirate9 913
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 522
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 609
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 561
To Peter Harrington 0 Mariswamy 857
Running mrSVM.py example on hadoop 0 t4ng0 1292
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 949
NCAA Basketball prediction 0 peter.harrington 795
Types of Machine Learning problems 0 pavani.reddy 787
chapter five logistic regression:a small question 1 david robben 992
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 709
Co-occurance of words 1 arindamb 886
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1571
Machine learning algorithm for numerical value estimation 1 Sam Al 952
Zip file with source code appears to be corrupt 2 pondus 1330
kMeans question 0 unkn0wn 1100
how to add a legend to the scatter plot? 1 zhaomingzhen 1120
Navie Baynes Classifier - multi-class 0 Josh_newnham 994
Bayes Theorem Incomplete Formula 0 akhil 890
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 814
adaboost features selection from large pool 0 amd_best 814
Adaboost feature selection 0 Median 1039
Machine Learning APIs 0 ismaelc 862
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 907
Listing 3.1 0 xplorer4us 846
What is 45 problem? 1 wbxjj2008 1584
Improving CART decision tree learning algorithm 0 p_marini 975
listing 5.2 1 Irwin 874
Supervised Learning 0 yatici 753
Listing 3.3 question about calculation 1 Irwin 1175
Listing 4.2 2 sculpturearts 1024
Thanks for your help making 2012 a great year 0 peter.harrington 870
Listing 3.4 1 sambaam 890
Array error code pag. 28 2 sdebeer 1303
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1324
Error in classification 1 sambaam 825
Errata on Github 0 peter.harrington 808
Reinforcement learning for power management 1 umair 1161
Chapter about scalable machine learning 0 Pablo07 898
Gradient Ascent / Descent 0 flopezluis 834
Converting code into F# / copyright 0 Mathias 904
Don't try to use Windows 64bit Python with this book 0 jbrown123 2049
References for academic journals 1 Chrilly 1168
prior probablities for naive Bayes. 0 chadcc 989
Some comments 1 arunr 1025
chapter 11 vote smart 2 mdszekeres 1551
Chapter 10 Error in kMeans.py 7 bob_hancock 2113
2.2.1 code editing 2 mdszekeres 1593
chapter 14 0 di01 897
ignore pls. 0 pat w 1025
error in using int(char) in kNN/file2matrix() 4 pat w 2283
Listing 2.1 Clarification 1 telescope7 2129
Error in Listing 2.1 0 jaywalker76 1174
Listing 2.2 Error 19 alanav 8901
Ebook formats? 3 retnuH 1665
Regression 1 RazerWolf 1122
Mistakes in the association analysis chapters 3 apfelbox 1920
The Expectation Maximization Chapter... 4 pado 1857
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1701
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1844
2.2.1 datingTestSet.txt 1 epios 4501
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1715
Page 330 a new bucket called: rustbucket. 1 edtruji 1412
misspelling page 69 0 acgrimes 995
Stanford offering free online course in Machine Learning 0 dwschulze 1754
Will the libs required for the example code work with Python 3? 2 dwschulze 1652
The Larger Errors in Chapter 2 2 danielzingaro 1833
Laboriously Explaining the kNN Code 6 danielzingaro 4627
pdf bookmarks view properties 0 shoe 1024
minor error in example 1 sebastian_sohr 1158
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1222
Hierarchical Clustering? 1 seth 1453
Confusing sentance in Chap 1 1 retnuH 1214
Machine Learning with C# 2 Bruce Jasper 2510
Suggestion for numpy usage 1 jsaryer 1417
Gradient ascent or descent 0 jmgimeno 1403
Page 69: bayessian example 1 jmgimeno 1252
Listing 3.9 1 jmgimeno 1587
Listing 3.8 1 jmgimeno 1272
Python style 1 jmgimeno 1778
Font for python code on iPad 4 jmgimeno 2397
Source code now on Github 0 peter.harrington 1459