Topic Answers Author Views
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 145
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 152
To Peter Harrington 0 Mariswamy 340
Value Error on Page 26 0 Pirate9 235
Running mrSVM.py example on hadoop 0 t4ng0 438
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 461
NCAA Basketball prediction 0 peter.harrington 322
Types of Machine Learning problems 0 pavani.reddy 327
chapter five logistic regression:a small question 1 david robben 528
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 304
Co-occurance of words 1 arindamb 417
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 912
Machine learning algorithm for numerical value estimation 1 Sam Al 531
Zip file with source code appears to be corrupt 2 pondus 820
kMeans question 0 unkn0wn 571
how to add a legend to the scatter plot? 1 zhaomingzhen 592
Navie Baynes Classifier - multi-class 0 Josh_newnham 505
Bayes Theorem Incomplete Formula 0 akhil 474
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 389
adaboost features selection from large pool 0 amd_best 406
Adaboost feature selection 0 Median 553
Machine Learning APIs 0 ismaelc 467
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 434
Listing 3.1 0 xplorer4us 387
What is 45 problem? 1 wbxjj2008 848
Improving CART decision tree learning algorithm 0 p_marini 452
listing 5.2 1 Irwin 437
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 574
Supervised Learning 0 yatici 387
Listing 3.3 question about calculation 1 Irwin 585
Listing 4.2 2 sculpturearts 494
Thanks for your help making 2012 a great year 0 peter.harrington 369
Listing 3.4 1 sambaam 447
Array error code pag. 28 2 sdebeer 582
Function adaClassify in Listing 7.3 issues an error 3 p_marini 527
Error in classification 1 sambaam 395
Errata on Github 0 peter.harrington 415
Section 4.5.2, page 70 1 aroc725 546
Reinforcement learning for power management 1 umair 738
Chapter about scalable machine learning 0 Pablo07 474
Gradient Ascent / Descent 0 flopezluis 453
Converting code into F# / copyright 0 Mathias 491
Don't try to use Windows 64bit Python with this book 0 jbrown123 1406
References for academic journals 1 Chrilly 735
prior probablities for naive Bayes. 0 chadcc 555
Some comments 1 arunr 635
chapter 11 vote smart 2 mdszekeres 991
Chapter 10 Error in kMeans.py 7 bob_hancock 1196
2.2.1 code editing 2 mdszekeres 1015
chapter 14 0 di01 477
ignore pls. 0 pat w 549
error in using int(char) in kNN/file2matrix() 4 pat w 1377
Listing 2.1 Clarification 1 telescope7 1248
Error in Listing 2.1 0 jaywalker76 656
Listing 2.2 Error 19 alanav 6060
Ebook formats? 3 retnuH 1191
Regression 1 RazerWolf 727
Mistakes in the association analysis chapters 3 apfelbox 1411
The Expectation Maximization Chapter... 4 pado 1390
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1250
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1420
2.2.1 datingTestSet.txt 1 epios 2708
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1268
Page 330 a new bucket called: rustbucket. 1 edtruji 940
misspelling page 69 0 acgrimes 607
Stanford offering free online course in Machine Learning 0 dwschulze 1326
Will the libs required for the example code work with Python 3? 2 dwschulze 1168
The Larger Errors in Chapter 2 2 danielzingaro 1240
Laboriously Explaining the kNN Code 6 danielzingaro 3023
pdf bookmarks view properties 0 shoe 669
minor error in example 1 sebastian_sohr 745
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 813
Hierarchical Clustering? 1 seth 945
Confusing sentance in Chap 1 1 retnuH 797
Machine Learning with C# 2 Bruce Jasper 2018
Suggestion for numpy usage 1 jsaryer 963
Gradient ascent or descent 0 jmgimeno 867
Page 69: bayessian example 1 jmgimeno 849
Listing 3.9 1 jmgimeno 1014
Listing 3.8 1 jmgimeno 842
Python style 1 jmgimeno 1238
Font for python code on iPad 4 jmgimeno 1852
Source code now on Github 0 peter.harrington 921
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1360
Iron Python 2 LOlsen 1326
Role of ontologies in machine learning 1 ronatartifact 1184
Listing 2.1 confusion 1 shahbazc@gmail.com 969
Watson on Jeopardy! Read and discuss! 0 mato 889
Possible Mistake In Section 1.2 1 jmwright 836
New MEAP arriving soon! 5 mato 1903
Data Sets 4 peter.harrington 1769
Machine Learning Blogs 4 peter.harrington 1994
Listing 2.1 2 grafpoo 1210
Source Library 1 DocAdam7 1058
Machine Learning for .NET 3 seth 2038
Errors and Corrections 84 mato 18147