Topic Answers Author Views
Data standardization of Ridge regression should divide standard deviation not variance? 1 537807 39
Is the intercept or the coefficient of X0 not fitted in ridge regression in Listing 8.3 and 8.6? 0 537807 14
8.3 predicting the age of an abalone missing all '1' column for data abalone 0 537807 10
Linear Regression (Ch 8, pg 157) 1 475981 234
Listing 2.2 2 452752 563
Listing 3.3 in calculating SubDataSet and probability 1 478706 234
Chp5 logistic regression, why append 0th feather X0? 0 474349 178
add. exercises/problems for Machine Learning in Action 1 405316 911
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 150
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2575
Typing error on page 28 0 450973 292
Curious how figure 5.6 was generated 0 Richard Cook 311
Section 4.5.2, page 70 2 aroc725 1139
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1277
In chapter 2.3.2 0 398191 500
set(dataSet[:,featIndex])? 0 389959 729
Ch 9. Tree-based regression. 0 384907 491
Is the voting logic in Listing 2.1 correct? 1 Raj 553
Errors and Corrections 86 mato 23555
Linear Regression 0 357143 521
code of stocGradAscent1 function in chapter 5 0 352354 595
Value Error on Page 26 1 Pirate9 944
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 544
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 632
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 580
To Peter Harrington 0 Mariswamy 889
Running mrSVM.py example on hadoop 0 t4ng0 1317
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 1006
NCAA Basketball prediction 0 peter.harrington 808
Types of Machine Learning problems 0 pavani.reddy 801
chapter five logistic regression:a small question 1 david robben 1021
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 730
Co-occurance of words 1 arindamb 922
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1599
Machine learning algorithm for numerical value estimation 1 Sam Al 966
Zip file with source code appears to be corrupt 2 pondus 1360
kMeans question 0 unkn0wn 1119
how to add a legend to the scatter plot? 1 zhaomingzhen 1150
Navie Baynes Classifier - multi-class 0 Josh_newnham 1018
Bayes Theorem Incomplete Formula 0 akhil 919
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 842
adaboost features selection from large pool 0 amd_best 832
Adaboost feature selection 0 Median 1068
Machine Learning APIs 0 ismaelc 872
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 939
Listing 3.1 0 xplorer4us 859
What is 45 problem? 1 wbxjj2008 1629
Improving CART decision tree learning algorithm 0 p_marini 1011
listing 5.2 1 Irwin 908
Supervised Learning 0 yatici 770
Listing 3.3 question about calculation 1 Irwin 1203
Listing 4.2 2 sculpturearts 1055
Thanks for your help making 2012 a great year 0 peter.harrington 893
Listing 3.4 1 sambaam 919
Array error code pag. 28 2 sdebeer 1335
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1365
Error in classification 1 sambaam 851
Errata on Github 0 peter.harrington 825
Reinforcement learning for power management 1 umair 1186
Chapter about scalable machine learning 0 Pablo07 918
Gradient Ascent / Descent 0 flopezluis 853
Converting code into F# / copyright 0 Mathias 920
Don't try to use Windows 64bit Python with this book 0 jbrown123 2081
References for academic journals 1 Chrilly 1190
prior probablities for naive Bayes. 0 chadcc 1002
Some comments 1 arunr 1035
chapter 11 vote smart 2 mdszekeres 1574
Chapter 10 Error in kMeans.py 7 bob_hancock 2192
2.2.1 code editing 2 mdszekeres 1636
chapter 14 0 di01 924
ignore pls. 0 pat w 1039
error in using int(char) in kNN/file2matrix() 4 pat w 2319
Listing 2.1 Clarification 1 telescope7 2183
Error in Listing 2.1 0 jaywalker76 1202
Listing 2.2 Error 19 alanav 9024
Ebook formats? 3 retnuH 1688
Regression 1 RazerWolf 1143
Mistakes in the association analysis chapters 3 apfelbox 1948
The Expectation Maximization Chapter... 4 pado 1880
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1739
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1871
2.2.1 datingTestSet.txt 1 epios 4573
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1752
Page 330 a new bucket called: rustbucket. 1 edtruji 1436
misspelling page 69 0 acgrimes 1007
Stanford offering free online course in Machine Learning 0 dwschulze 1766
Will the libs required for the example code work with Python 3? 2 dwschulze 1680
The Larger Errors in Chapter 2 2 danielzingaro 1867
Laboriously Explaining the kNN Code 6 danielzingaro 4796
pdf bookmarks view properties 0 shoe 1043
minor error in example 1 sebastian_sohr 1204
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1238
Hierarchical Clustering? 1 seth 1472
Confusing sentance in Chap 1 1 retnuH 1245
Machine Learning with C# 2 Bruce Jasper 2554
Suggestion for numpy usage 1 jsaryer 1458
Gradient ascent or descent 0 jmgimeno 1417
Page 69: bayessian example 1 jmgimeno 1269
Listing 3.9 1 jmgimeno 1603
Listing 3.8 1 jmgimeno 1292