Topic Answers Author Views
code of stocGradAscent1 function in chapter 5 0 352354 17
Value Error on Page 26 1 Pirate9 293
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 18
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 168
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 164
To Peter Harrington 0 Mariswamy 355
Running mrSVM.py example on hadoop 0 t4ng0 458
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 472
NCAA Basketball prediction 0 peter.harrington 336
Types of Machine Learning problems 0 pavani.reddy 336
chapter five logistic regression:a small question 1 david robben 542
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 317
Co-occurance of words 1 arindamb 427
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 937
Machine learning algorithm for numerical value estimation 1 Sam Al 541
Zip file with source code appears to be corrupt 2 pondus 835
kMeans question 0 unkn0wn 595
how to add a legend to the scatter plot? 1 zhaomingzhen 617
Navie Baynes Classifier - multi-class 0 Josh_newnham 529
Bayes Theorem Incomplete Formula 0 akhil 480
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 394
adaboost features selection from large pool 0 amd_best 412
Adaboost feature selection 0 Median 572
Machine Learning APIs 0 ismaelc 475
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 452
Listing 3.1 0 xplorer4us 394
What is 45 problem? 1 wbxjj2008 880
Improving CART decision tree learning algorithm 0 p_marini 469
listing 5.2 1 Irwin 445
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 589
Supervised Learning 0 yatici 393
Listing 3.3 question about calculation 1 Irwin 618
Listing 4.2 2 sculpturearts 498
Thanks for your help making 2012 a great year 0 peter.harrington 377
Listing 3.4 1 sambaam 451
Array error code pag. 28 2 sdebeer 604
Function adaClassify in Listing 7.3 issues an error 3 p_marini 552
Error in classification 1 sambaam 401
Errata on Github 0 peter.harrington 422
Section 4.5.2, page 70 1 aroc725 551
Reinforcement learning for power management 1 umair 745
Chapter about scalable machine learning 0 Pablo07 480
Gradient Ascent / Descent 0 flopezluis 463
Converting code into F# / copyright 0 Mathias 506
Don't try to use Windows 64bit Python with this book 0 jbrown123 1440
References for academic journals 1 Chrilly 744
prior probablities for naive Bayes. 0 chadcc 570
Some comments 1 arunr 641
chapter 11 vote smart 2 mdszekeres 1014
Chapter 10 Error in kMeans.py 7 bob_hancock 1235
2.2.1 code editing 2 mdszekeres 1027
chapter 14 0 di01 480
ignore pls. 0 pat w 570
error in using int(char) in kNN/file2matrix() 4 pat w 1402
Listing 2.1 Clarification 1 telescope7 1266
Error in Listing 2.1 0 jaywalker76 677
Listing 2.2 Error 19 alanav 6129
Ebook formats? 3 retnuH 1202
Regression 1 RazerWolf 731
Mistakes in the association analysis chapters 3 apfelbox 1417
The Expectation Maximization Chapter... 4 pado 1397
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1258
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1426
2.2.1 datingTestSet.txt 1 epios 2750
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1273
Page 330 a new bucket called: rustbucket. 1 edtruji 955
misspelling page 69 0 acgrimes 613
Stanford offering free online course in Machine Learning 0 dwschulze 1332
Will the libs required for the example code work with Python 3? 2 dwschulze 1175
The Larger Errors in Chapter 2 2 danielzingaro 1258
Laboriously Explaining the kNN Code 6 danielzingaro 3050
pdf bookmarks view properties 0 shoe 671
minor error in example 1 sebastian_sohr 753
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 821
Hierarchical Clustering? 1 seth 966
Confusing sentance in Chap 1 1 retnuH 807
Machine Learning with C# 2 Bruce Jasper 2029
Suggestion for numpy usage 1 jsaryer 969
Gradient ascent or descent 0 jmgimeno 887
Page 69: bayessian example 1 jmgimeno 854
Listing 3.9 1 jmgimeno 1036
Listing 3.8 1 jmgimeno 848
Python style 1 jmgimeno 1242
Font for python code on iPad 4 jmgimeno 1858
Source code now on Github 0 peter.harrington 936
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1375
Iron Python 2 LOlsen 1340
Role of ontologies in machine learning 1 ronatartifact 1186
Listing 2.1 confusion 1 shahbazc@gmail.com 986
Watson on Jeopardy! Read and discuss! 0 mato 897
Possible Mistake In Section 1.2 1 jmwright 840
New MEAP arriving soon! 5 mato 1910
Data Sets 4 peter.harrington 1790
Machine Learning Blogs 4 peter.harrington 2006
Listing 2.1 2 grafpoo 1230
Source Library 1 DocAdam7 1062
Machine Learning for .NET 3 seth 2044
Errors and Corrections 84 mato 18237