Topic Answers Author Views
Linear Regression (Ch 8, pg 157) 0 475981 107
Listing 3.3 in calculating SubDataSet and probability 1 478706 198
Chp5 logistic regression, why append 0th feather X0? 0 474349 155
add. exercises/problems for Machine Learning in Action 1 405316 818
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 133
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2541
Listing 2.2 1 452752 486
Typing error on page 28 0 450973 257
Curious how figure 5.6 was generated 0 Richard Cook 269
Section 4.5.2, page 70 2 aroc725 1075
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1236
In chapter 2.3.2 0 398191 450
set(dataSet[:,featIndex])? 0 389959 704
Ch 9. Tree-based regression. 0 384907 456
Is the voting logic in Listing 2.1 correct? 1 Raj 511
Errors and Corrections 86 mato 23241
Linear Regression 0 357143 496
code of stocGradAscent1 function in chapter 5 0 352354 574
Value Error on Page 26 1 Pirate9 911
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 518
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 604
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 559
To Peter Harrington 0 Mariswamy 855
Running mrSVM.py example on hadoop 0 t4ng0 1286
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 944
NCAA Basketball prediction 0 peter.harrington 793
Types of Machine Learning problems 0 pavani.reddy 784
chapter five logistic regression:a small question 1 david robben 990
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 707
Co-occurance of words 1 arindamb 882
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1567
Machine learning algorithm for numerical value estimation 1 Sam Al 949
Zip file with source code appears to be corrupt 2 pondus 1324
kMeans question 0 unkn0wn 1096
how to add a legend to the scatter plot? 1 zhaomingzhen 1113
Navie Baynes Classifier - multi-class 0 Josh_newnham 991
Bayes Theorem Incomplete Formula 0 akhil 883
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 811
adaboost features selection from large pool 0 amd_best 811
Adaboost feature selection 0 Median 1034
Machine Learning APIs 0 ismaelc 859
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 904
Listing 3.1 0 xplorer4us 844
What is 45 problem? 1 wbxjj2008 1577
Improving CART decision tree learning algorithm 0 p_marini 970
listing 5.2 1 Irwin 865
Supervised Learning 0 yatici 750
Listing 3.3 question about calculation 1 Irwin 1168
Listing 4.2 2 sculpturearts 1020
Thanks for your help making 2012 a great year 0 peter.harrington 867
Listing 3.4 1 sambaam 881
Array error code pag. 28 2 sdebeer 1297
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1316
Error in classification 1 sambaam 820
Errata on Github 0 peter.harrington 804
Reinforcement learning for power management 1 umair 1157
Chapter about scalable machine learning 0 Pablo07 894
Gradient Ascent / Descent 0 flopezluis 829
Converting code into F# / copyright 0 Mathias 901
Don't try to use Windows 64bit Python with this book 0 jbrown123 2046
References for academic journals 1 Chrilly 1164
prior probablities for naive Bayes. 0 chadcc 986
Some comments 1 arunr 1020
chapter 11 vote smart 2 mdszekeres 1544
Chapter 10 Error in kMeans.py 7 bob_hancock 2103
2.2.1 code editing 2 mdszekeres 1589
chapter 14 0 di01 893
ignore pls. 0 pat w 1022
error in using int(char) in kNN/file2matrix() 4 pat w 2276
Listing 2.1 Clarification 1 telescope7 2118
Error in Listing 2.1 0 jaywalker76 1171
Listing 2.2 Error 19 alanav 8884
Ebook formats? 3 retnuH 1659
Regression 1 RazerWolf 1117
Mistakes in the association analysis chapters 3 apfelbox 1916
The Expectation Maximization Chapter... 4 pado 1851
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1694
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1840
2.2.1 datingTestSet.txt 1 epios 4491
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1708
Page 330 a new bucket called: rustbucket. 1 edtruji 1406
misspelling page 69 0 acgrimes 989
Stanford offering free online course in Machine Learning 0 dwschulze 1748
Will the libs required for the example code work with Python 3? 2 dwschulze 1645
The Larger Errors in Chapter 2 2 danielzingaro 1829
Laboriously Explaining the kNN Code 6 danielzingaro 4613
pdf bookmarks view properties 0 shoe 1021
minor error in example 1 sebastian_sohr 1152
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1218
Hierarchical Clustering? 1 seth 1446
Confusing sentance in Chap 1 1 retnuH 1208
Machine Learning with C# 2 Bruce Jasper 2505
Suggestion for numpy usage 1 jsaryer 1413
Gradient ascent or descent 0 jmgimeno 1400
Page 69: bayessian example 1 jmgimeno 1250
Listing 3.9 1 jmgimeno 1583
Listing 3.8 1 jmgimeno 1268
Python style 1 jmgimeno 1771
Font for python code on iPad 4 jmgimeno 2388
Source code now on Github 0 peter.harrington 1456