Topic Answers Author Views
Errors and Corrections 85 mato 18546
Linear Regression 0 357143 60
code of stocGradAscent1 function in chapter 5 0 352354 142
Value Error on Page 26 1 Pirate9 362
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 61
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 217
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 199
To Peter Harrington 0 Mariswamy 391
Running mrSVM.py example on hadoop 0 t4ng0 539
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 496
NCAA Basketball prediction 0 peter.harrington 372
Types of Machine Learning problems 0 pavani.reddy 369
chapter five logistic regression:a small question 1 david robben 573
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 339
Co-occurance of words 1 arindamb 456
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 997
Machine learning algorithm for numerical value estimation 1 Sam Al 564
Zip file with source code appears to be corrupt 2 pondus 885
kMeans question 0 unkn0wn 689
how to add a legend to the scatter plot? 1 zhaomingzhen 712
Navie Baynes Classifier - multi-class 0 Josh_newnham 618
Bayes Theorem Incomplete Formula 0 akhil 502
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 419
adaboost features selection from large pool 0 amd_best 442
Adaboost feature selection 0 Median 659
Machine Learning APIs 0 ismaelc 508
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 503
Listing 3.1 0 xplorer4us 424
What is 45 problem? 1 wbxjj2008 1002
Improving CART decision tree learning algorithm 0 p_marini 528
listing 5.2 1 Irwin 474
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 636
Supervised Learning 0 yatici 415
Listing 3.3 question about calculation 1 Irwin 727
Listing 4.2 2 sculpturearts 537
Thanks for your help making 2012 a great year 0 peter.harrington 422
Listing 3.4 1 sambaam 475
Array error code pag. 28 2 sdebeer 672
Function adaClassify in Listing 7.3 issues an error 3 p_marini 611
Error in classification 1 sambaam 425
Errata on Github 0 peter.harrington 452
Section 4.5.2, page 70 1 aroc725 577
Reinforcement learning for power management 1 umair 771
Chapter about scalable machine learning 0 Pablo07 503
Gradient Ascent / Descent 0 flopezluis 483
Converting code into F# / copyright 0 Mathias 552
Don't try to use Windows 64bit Python with this book 0 jbrown123 1564
References for academic journals 1 Chrilly 762
prior probablities for naive Bayes. 0 chadcc 631
Some comments 1 arunr 662
chapter 11 vote smart 2 mdszekeres 1067
Chapter 10 Error in kMeans.py 7 bob_hancock 1372
2.2.1 code editing 2 mdszekeres 1069
chapter 14 0 di01 501
ignore pls. 0 pat w 657
error in using int(char) in kNN/file2matrix() 4 pat w 1479
Listing 2.1 Clarification 1 telescope7 1345
Error in Listing 2.1 0 jaywalker76 760
Listing 2.2 Error 19 alanav 6342
Ebook formats? 3 retnuH 1228
Regression 1 RazerWolf 757
Mistakes in the association analysis chapters 3 apfelbox 1443
The Expectation Maximization Chapter... 4 pado 1430
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1294
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1454
2.2.1 datingTestSet.txt 1 epios 2881
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1301
Page 330 a new bucket called: rustbucket. 1 edtruji 1007
misspelling page 69 0 acgrimes 637
Stanford offering free online course in Machine Learning 0 dwschulze 1358
Will the libs required for the example code work with Python 3? 2 dwschulze 1208
The Larger Errors in Chapter 2 2 danielzingaro 1348
Laboriously Explaining the kNN Code 6 danielzingaro 3144
pdf bookmarks view properties 0 shoe 691
minor error in example 1 sebastian_sohr 774
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 848
Hierarchical Clustering? 1 seth 1046
Confusing sentance in Chap 1 1 retnuH 834
Machine Learning with C# 2 Bruce Jasper 2069
Suggestion for numpy usage 1 jsaryer 1003
Gradient ascent or descent 0 jmgimeno 969
Page 69: bayessian example 1 jmgimeno 869
Listing 3.9 1 jmgimeno 1121
Listing 3.8 1 jmgimeno 865
Python style 1 jmgimeno 1271
Font for python code on iPad 4 jmgimeno 1891
Source code now on Github 0 peter.harrington 1005
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1421
Iron Python 2 LOlsen 1397
Role of ontologies in machine learning 1 ronatartifact 1206
Listing 2.1 confusion 1 shahbazc@gmail.com 1054
Watson on Jeopardy! Read and discuss! 0 mato 915
Possible Mistake In Section 1.2 1 jmwright 866
New MEAP arriving soon! 5 mato 1944
Data Sets 4 peter.harrington 1882
Machine Learning Blogs 4 peter.harrington 2064
Listing 2.1 2 grafpoo 1319
Source Library 1 DocAdam7 1093
Machine Learning for .NET 3 seth 2070