Topic Answers Author Views
Errors and Corrections 85 mato 18818
Linear Regression 0 357143 94
code of stocGradAscent1 function in chapter 5 0 352354 165
Value Error on Page 26 1 Pirate9 404
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 75
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 241
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 222
To Peter Harrington 0 Mariswamy 421
Running mrSVM.py example on hadoop 0 t4ng0 603
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 526
NCAA Basketball prediction 0 peter.harrington 399
Types of Machine Learning problems 0 pavani.reddy 391
chapter five logistic regression:a small question 1 david robben 596
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 364
Co-occurance of words 1 arindamb 476
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1046
Machine learning algorithm for numerical value estimation 1 Sam Al 585
Zip file with source code appears to be corrupt 2 pondus 913
kMeans question 0 unkn0wn 736
how to add a legend to the scatter plot? 1 zhaomingzhen 757
Navie Baynes Classifier - multi-class 0 Josh_newnham 657
Bayes Theorem Incomplete Formula 0 akhil 525
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 437
adaboost features selection from large pool 0 amd_best 461
Adaboost feature selection 0 Median 696
Machine Learning APIs 0 ismaelc 525
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 534
Listing 3.1 0 xplorer4us 449
What is 45 problem? 1 wbxjj2008 1072
Improving CART decision tree learning algorithm 0 p_marini 563
listing 5.2 1 Irwin 492
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 670
Supervised Learning 0 yatici 432
Listing 3.3 question about calculation 1 Irwin 776
Listing 4.2 2 sculpturearts 560
Thanks for your help making 2012 a great year 0 peter.harrington 451
Listing 3.4 1 sambaam 491
Array error code pag. 28 2 sdebeer 736
Function adaClassify in Listing 7.3 issues an error 3 p_marini 644
Error in classification 1 sambaam 444
Errata on Github 0 peter.harrington 478
Section 4.5.2, page 70 1 aroc725 599
Reinforcement learning for power management 1 umair 791
Chapter about scalable machine learning 0 Pablo07 522
Gradient Ascent / Descent 0 flopezluis 497
Converting code into F# / copyright 0 Mathias 582
Don't try to use Windows 64bit Python with this book 0 jbrown123 1628
References for academic journals 1 Chrilly 790
prior probablities for naive Bayes. 0 chadcc 659
Some comments 1 arunr 683
chapter 11 vote smart 2 mdszekeres 1106
Chapter 10 Error in kMeans.py 7 bob_hancock 1437
2.2.1 code editing 2 mdszekeres 1112
chapter 14 0 di01 520
ignore pls. 0 pat w 693
error in using int(char) in kNN/file2matrix() 4 pat w 1547
Listing 2.1 Clarification 1 telescope7 1406
Error in Listing 2.1 0 jaywalker76 799
Listing 2.2 Error 19 alanav 6439
Ebook formats? 3 retnuH 1252
Regression 1 RazerWolf 777
Mistakes in the association analysis chapters 3 apfelbox 1471
The Expectation Maximization Chapter... 4 pado 1452
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1317
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1469
2.2.1 datingTestSet.txt 1 epios 2968
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1321
Page 330 a new bucket called: rustbucket. 1 edtruji 1034
misspelling page 69 0 acgrimes 654
Stanford offering free online course in Machine Learning 0 dwschulze 1382
Will the libs required for the example code work with Python 3? 2 dwschulze 1231
The Larger Errors in Chapter 2 2 danielzingaro 1392
Laboriously Explaining the kNN Code 6 danielzingaro 3224
pdf bookmarks view properties 0 shoe 707
minor error in example 1 sebastian_sohr 790
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 871
Hierarchical Clustering? 1 seth 1088
Confusing sentance in Chap 1 1 retnuH 855
Machine Learning with C# 2 Bruce Jasper 2101
Suggestion for numpy usage 1 jsaryer 1032
Gradient ascent or descent 0 jmgimeno 1010
Page 69: bayessian example 1 jmgimeno 890
Listing 3.9 1 jmgimeno 1172
Listing 3.8 1 jmgimeno 894
Python style 1 jmgimeno 1292
Font for python code on iPad 4 jmgimeno 1916
Source code now on Github 0 peter.harrington 1044
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1450
Iron Python 2 LOlsen 1440
Role of ontologies in machine learning 1 ronatartifact 1224
Listing 2.1 confusion 1 shahbazc@gmail.com 1086
Watson on Jeopardy! Read and discuss! 0 mato 933
Possible Mistake In Section 1.2 1 jmwright 884
New MEAP arriving soon! 5 mato 1969
Data Sets 4 peter.harrington 1932
Machine Learning Blogs 4 peter.harrington 2094
Listing 2.1 2 grafpoo 1365
Source Library 1 DocAdam7 1116
Machine Learning for .NET 3 seth 2089