Topic Answers Author Views
Linear Regression (Ch 8, pg 157) 0 475981 70
Listing 3.3 in calculating SubDataSet and probability 1 478706 169
Chp5 logistic regression, why append 0th feather X0? 0 474349 141
add. exercises/problems for Machine Learning in Action 1 405316 788
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 120
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2518
Listing 2.2 1 452752 462
Typing error on page 28 0 450973 241
Curious how figure 5.6 was generated 0 Richard Cook 253
Section 4.5.2, page 70 2 aroc725 1046
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1209
In chapter 2.3.2 0 398191 433
set(dataSet[:,featIndex])? 0 389959 679
Ch 9. Tree-based regression. 0 384907 446
Is the voting logic in Listing 2.1 correct? 1 Raj 490
Errors and Corrections 86 mato 23050
Linear Regression 0 357143 485
code of stocGradAscent1 function in chapter 5 0 352354 566
Value Error on Page 26 1 Pirate9 900
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 507
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 589
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 551
To Peter Harrington 0 Mariswamy 838
Running mrSVM.py example on hadoop 0 t4ng0 1264
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 921
NCAA Basketball prediction 0 peter.harrington 775
Types of Machine Learning problems 0 pavani.reddy 776
chapter five logistic regression:a small question 1 david robben 978
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 693
Co-occurance of words 1 arindamb 863
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1550
Machine learning algorithm for numerical value estimation 1 Sam Al 937
Zip file with source code appears to be corrupt 2 pondus 1305
kMeans question 0 unkn0wn 1088
how to add a legend to the scatter plot? 1 zhaomingzhen 1099
Navie Baynes Classifier - multi-class 0 Josh_newnham 975
Bayes Theorem Incomplete Formula 0 akhil 869
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 793
adaboost features selection from large pool 0 amd_best 795
Adaboost feature selection 0 Median 1021
Machine Learning APIs 0 ismaelc 851
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 890
Listing 3.1 0 xplorer4us 833
What is 45 problem? 1 wbxjj2008 1555
Improving CART decision tree learning algorithm 0 p_marini 953
listing 5.2 1 Irwin 852
Supervised Learning 0 yatici 745
Listing 3.3 question about calculation 1 Irwin 1155
Listing 4.2 2 sculpturearts 998
Thanks for your help making 2012 a great year 0 peter.harrington 859
Listing 3.4 1 sambaam 867
Array error code pag. 28 2 sdebeer 1274
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1301
Error in classification 1 sambaam 811
Errata on Github 0 peter.harrington 794
Reinforcement learning for power management 1 umair 1148
Chapter about scalable machine learning 0 Pablo07 877
Gradient Ascent / Descent 0 flopezluis 817
Converting code into F# / copyright 0 Mathias 887
Don't try to use Windows 64bit Python with this book 0 jbrown123 2019
References for academic journals 1 Chrilly 1150
prior probablities for naive Bayes. 0 chadcc 977
Some comments 1 arunr 1005
chapter 11 vote smart 2 mdszekeres 1529
Chapter 10 Error in kMeans.py 7 bob_hancock 2063
2.2.1 code editing 2 mdszekeres 1577
chapter 14 0 di01 877
ignore pls. 0 pat w 1011
error in using int(char) in kNN/file2matrix() 4 pat w 2258
Listing 2.1 Clarification 1 telescope7 2089
Error in Listing 2.1 0 jaywalker76 1155
Listing 2.2 Error 19 alanav 8824
Ebook formats? 3 retnuH 1651
Regression 1 RazerWolf 1110
Mistakes in the association analysis chapters 3 apfelbox 1898
The Expectation Maximization Chapter... 4 pado 1831
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1672
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1827
2.2.1 datingTestSet.txt 1 epios 4457
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1690
Page 330 a new bucket called: rustbucket. 1 edtruji 1397
misspelling page 69 0 acgrimes 979
Stanford offering free online course in Machine Learning 0 dwschulze 1735
Will the libs required for the example code work with Python 3? 2 dwschulze 1623
The Larger Errors in Chapter 2 2 danielzingaro 1812
Laboriously Explaining the kNN Code 6 danielzingaro 4538
pdf bookmarks view properties 0 shoe 1005
minor error in example 1 sebastian_sohr 1136
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1209
Hierarchical Clustering? 1 seth 1443
Confusing sentance in Chap 1 1 retnuH 1197
Machine Learning with C# 2 Bruce Jasper 2495
Suggestion for numpy usage 1 jsaryer 1399
Gradient ascent or descent 0 jmgimeno 1387
Page 69: bayessian example 1 jmgimeno 1240
Listing 3.9 1 jmgimeno 1566
Listing 3.8 1 jmgimeno 1253
Python style 1 jmgimeno 1757
Font for python code on iPad 4 jmgimeno 2372
Source code now on Github 0 peter.harrington 1438