Topic Answers Author Views
Chapter 2 - Training kNN 0 devo 16
Data standardization of Ridge regression should divide standard deviation not variance? 1 537807 98
Is the intercept or the coefficient of X0 not fitted in ridge regression in Listing 8.3 and 8.6? 0 537807 26
8.3 predicting the age of an abalone missing all '1' column for data abalone 0 537807 20
Linear Regression (Ch 8, pg 157) 1 475981 276
Listing 2.2 2 452752 632
Listing 3.3 in calculating SubDataSet and probability 1 478706 260
Chp5 logistic regression, why append 0th feather X0? 0 474349 204
add. exercises/problems for Machine Learning in Action 1 405316 947
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 173
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2614
Typing error on page 28 0 450973 321
Curious how figure 5.6 was generated 0 Richard Cook 334
Section 4.5.2, page 70 2 aroc725 1182
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1313
In chapter 2.3.2 0 398191 525
set(dataSet[:,featIndex])? 0 389959 772
Ch 9. Tree-based regression. 0 384907 517
Is the voting logic in Listing 2.1 correct? 1 Raj 591
Errors and Corrections 86 mato 23874
Linear Regression 0 357143 538
code of stocGradAscent1 function in chapter 5 0 352354 608
Value Error on Page 26 1 Pirate9 981
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 566
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 660
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 601
To Peter Harrington 0 Mariswamy 907
Running mrSVM.py example on hadoop 0 t4ng0 1360
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 1045
NCAA Basketball prediction 0 peter.harrington 835
Types of Machine Learning problems 0 pavani.reddy 818
chapter five logistic regression:a small question 1 david robben 1046
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 747
Co-occurance of words 1 arindamb 950
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1622
Machine learning algorithm for numerical value estimation 1 Sam Al 985
Zip file with source code appears to be corrupt 2 pondus 1392
kMeans question 0 unkn0wn 1135
how to add a legend to the scatter plot? 1 zhaomingzhen 1175
Navie Baynes Classifier - multi-class 0 Josh_newnham 1046
Bayes Theorem Incomplete Formula 0 akhil 945
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 867
adaboost features selection from large pool 0 amd_best 849
Adaboost feature selection 0 Median 1087
Machine Learning APIs 0 ismaelc 882
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 959
Listing 3.1 0 xplorer4us 872
What is 45 problem? 1 wbxjj2008 1661
Improving CART decision tree learning algorithm 0 p_marini 1033
listing 5.2 1 Irwin 935
Supervised Learning 0 yatici 790
Listing 3.3 question about calculation 1 Irwin 1224
Listing 4.2 2 sculpturearts 1079
Thanks for your help making 2012 a great year 0 peter.harrington 908
Listing 3.4 1 sambaam 946
Array error code pag. 28 2 sdebeer 1359
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1400
Error in classification 1 sambaam 871
Errata on Github 0 peter.harrington 840
Reinforcement learning for power management 1 umair 1207
Chapter about scalable machine learning 0 Pablo07 937
Gradient Ascent / Descent 0 flopezluis 873
Converting code into F# / copyright 0 Mathias 938
Don't try to use Windows 64bit Python with this book 0 jbrown123 2115
References for academic journals 1 Chrilly 1206
prior probablities for naive Bayes. 0 chadcc 1016
Some comments 1 arunr 1057
chapter 11 vote smart 2 mdszekeres 1604
Chapter 10 Error in kMeans.py 7 bob_hancock 2229
2.2.1 code editing 2 mdszekeres 1667
chapter 14 0 di01 951
ignore pls. 0 pat w 1054
error in using int(char) in kNN/file2matrix() 4 pat w 2362
Listing 2.1 Clarification 1 telescope7 2226
Error in Listing 2.1 0 jaywalker76 1222
Listing 2.2 Error 19 alanav 9132
Ebook formats? 3 retnuH 1714
Regression 1 RazerWolf 1163
Mistakes in the association analysis chapters 3 apfelbox 1988
The Expectation Maximization Chapter... 4 pado 1917
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1788
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1898
2.2.1 datingTestSet.txt 1 epios 4628
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1787
Page 330 a new bucket called: rustbucket. 1 edtruji 1460
misspelling page 69 0 acgrimes 1030
Stanford offering free online course in Machine Learning 0 dwschulze 1785
Will the libs required for the example code work with Python 3? 2 dwschulze 1714
The Larger Errors in Chapter 2 2 danielzingaro 1895
Laboriously Explaining the kNN Code 6 danielzingaro 4908
pdf bookmarks view properties 0 shoe 1062
minor error in example 1 sebastian_sohr 1233
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1257
Hierarchical Clustering? 1 seth 1495
Confusing sentance in Chap 1 1 retnuH 1274
Machine Learning with C# 2 Bruce Jasper 2587
Suggestion for numpy usage 1 jsaryer 1482
Gradient ascent or descent 0 jmgimeno 1443
Page 69: bayessian example 1 jmgimeno 1295
Listing 3.9 1 jmgimeno 1630