Topic Answers Author Views
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 125
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 142
To Peter Harrington 0 Mariswamy 330
Value Error on Page 26 0 Pirate9 227
Running mrSVM.py example on hadoop 0 t4ng0 419
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 455
NCAA Basketball prediction 0 peter.harrington 316
Types of Machine Learning problems 0 pavani.reddy 324
chapter five logistic regression:a small question 1 david robben 521
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 300
Co-occurance of words 1 arindamb 405
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 888
Machine learning algorithm for numerical value estimation 1 Sam Al 526
Zip file with source code appears to be corrupt 2 pondus 813
kMeans question 0 unkn0wn 549
how to add a legend to the scatter plot? 1 zhaomingzhen 571
Navie Baynes Classifier - multi-class 0 Josh_newnham 479
Bayes Theorem Incomplete Formula 0 akhil 465
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 382
adaboost features selection from large pool 0 amd_best 400
Adaboost feature selection 0 Median 527
Machine Learning APIs 0 ismaelc 462
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 420
Listing 3.1 0 xplorer4us 377
What is 45 problem? 1 wbxjj2008 813
Improving CART decision tree learning algorithm 0 p_marini 434
listing 5.2 1 Irwin 432
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 563
Supervised Learning 0 yatici 380
Listing 3.3 question about calculation 1 Irwin 559
Listing 4.2 2 sculpturearts 485
Thanks for your help making 2012 a great year 0 peter.harrington 364
Listing 3.4 1 sambaam 438
Array error code pag. 28 2 sdebeer 550
Function adaClassify in Listing 7.3 issues an error 3 p_marini 508
Error in classification 1 sambaam 386
Errata on Github 0 peter.harrington 410
Section 4.5.2, page 70 1 aroc725 541
Reinforcement learning for power management 1 umair 731
Chapter about scalable machine learning 0 Pablo07 468
Gradient Ascent / Descent 0 flopezluis 446
Converting code into F# / copyright 0 Mathias 478
Don't try to use Windows 64bit Python with this book 0 jbrown123 1367
References for academic journals 1 Chrilly 728
prior probablities for naive Bayes. 0 chadcc 545
Some comments 1 arunr 630
chapter 11 vote smart 2 mdszekeres 978
Chapter 10 Error in kMeans.py 7 bob_hancock 1161
2.2.1 code editing 2 mdszekeres 1006
chapter 14 0 di01 472
ignore pls. 0 pat w 532
error in using int(char) in kNN/file2matrix() 4 pat w 1346
Listing 2.1 Clarification 1 telescope7 1222
Error in Listing 2.1 0 jaywalker76 632
Listing 2.2 Error 19 alanav 5979
Ebook formats? 3 retnuH 1182
Regression 1 RazerWolf 721
Mistakes in the association analysis chapters 3 apfelbox 1406
The Expectation Maximization Chapter... 4 pado 1379
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1238
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1414
2.2.1 datingTestSet.txt 1 epios 2670
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1259
Page 330 a new bucket called: rustbucket. 1 edtruji 926
misspelling page 69 0 acgrimes 602
Stanford offering free online course in Machine Learning 0 dwschulze 1318
Will the libs required for the example code work with Python 3? 2 dwschulze 1164
The Larger Errors in Chapter 2 2 danielzingaro 1218
Laboriously Explaining the kNN Code 6 danielzingaro 2983
pdf bookmarks view properties 0 shoe 663
minor error in example 1 sebastian_sohr 740
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 808
Hierarchical Clustering? 1 seth 927
Confusing sentance in Chap 1 1 retnuH 792
Machine Learning with C# 2 Bruce Jasper 2002
Suggestion for numpy usage 1 jsaryer 955
Gradient ascent or descent 0 jmgimeno 846
Page 69: bayessian example 1 jmgimeno 838
Listing 3.9 1 jmgimeno 990
Listing 3.8 1 jmgimeno 835
Python style 1 jmgimeno 1230
Font for python code on iPad 4 jmgimeno 1841
Source code now on Github 0 peter.harrington 897
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1347
Iron Python 2 LOlsen 1313
Role of ontologies in machine learning 1 ronatartifact 1158
Listing 2.1 confusion 1 shahbazc@gmail.com 956
Watson on Jeopardy! Read and discuss! 0 mato 882
Possible Mistake In Section 1.2 1 jmwright 828
New MEAP arriving soon! 5 mato 1896
Data Sets 4 peter.harrington 1748
Machine Learning Blogs 4 peter.harrington 1985
Listing 2.1 2 grafpoo 1189
Source Library 1 DocAdam7 1049
Machine Learning for .NET 3 seth 2028
Errors and Corrections 84 mato 18055