Topic Answers Author Views
Errors and Corrections 85 mato 18645
Linear Regression 0 357143 77
code of stocGradAscent1 function in chapter 5 0 352354 155
Value Error on Page 26 1 Pirate9 380
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 68
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 228
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 209
To Peter Harrington 0 Mariswamy 410
Running mrSVM.py example on hadoop 0 t4ng0 561
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 509
NCAA Basketball prediction 0 peter.harrington 387
Types of Machine Learning problems 0 pavani.reddy 383
chapter five logistic regression:a small question 1 david robben 588
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 354
Co-occurance of words 1 arindamb 469
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1014
Machine learning algorithm for numerical value estimation 1 Sam Al 578
Zip file with source code appears to be corrupt 2 pondus 898
kMeans question 0 unkn0wn 708
how to add a legend to the scatter plot? 1 zhaomingzhen 727
Navie Baynes Classifier - multi-class 0 Josh_newnham 631
Bayes Theorem Incomplete Formula 0 akhil 514
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 431
adaboost features selection from large pool 0 amd_best 452
Adaboost feature selection 0 Median 675
Machine Learning APIs 0 ismaelc 520
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 518
Listing 3.1 0 xplorer4us 438
What is 45 problem? 1 wbxjj2008 1023
Improving CART decision tree learning algorithm 0 p_marini 541
listing 5.2 1 Irwin 485
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 650
Supervised Learning 0 yatici 424
Listing 3.3 question about calculation 1 Irwin 747
Listing 4.2 2 sculpturearts 548
Thanks for your help making 2012 a great year 0 peter.harrington 438
Listing 3.4 1 sambaam 486
Array error code pag. 28 2 sdebeer 695
Function adaClassify in Listing 7.3 issues an error 3 p_marini 626
Error in classification 1 sambaam 438
Errata on Github 0 peter.harrington 465
Section 4.5.2, page 70 1 aroc725 588
Reinforcement learning for power management 1 umair 786
Chapter about scalable machine learning 0 Pablo07 516
Gradient Ascent / Descent 0 flopezluis 493
Converting code into F# / copyright 0 Mathias 564
Don't try to use Windows 64bit Python with this book 0 jbrown123 1584
References for academic journals 1 Chrilly 780
prior probablities for naive Bayes. 0 chadcc 643
Some comments 1 arunr 673
chapter 11 vote smart 2 mdszekeres 1087
Chapter 10 Error in kMeans.py 7 bob_hancock 1398
2.2.1 code editing 2 mdszekeres 1094
chapter 14 0 di01 511
ignore pls. 0 pat w 670
error in using int(char) in kNN/file2matrix() 4 pat w 1499
Listing 2.1 Clarification 1 telescope7 1366
Error in Listing 2.1 0 jaywalker76 774
Listing 2.2 Error 19 alanav 6381
Ebook formats? 3 retnuH 1244
Regression 1 RazerWolf 767
Mistakes in the association analysis chapters 3 apfelbox 1458
The Expectation Maximization Chapter... 4 pado 1439
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1304
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1465
2.2.1 datingTestSet.txt 1 epios 2920
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1312
Page 330 a new bucket called: rustbucket. 1 edtruji 1021
misspelling page 69 0 acgrimes 649
Stanford offering free online course in Machine Learning 0 dwschulze 1368
Will the libs required for the example code work with Python 3? 2 dwschulze 1219
The Larger Errors in Chapter 2 2 danielzingaro 1370
Laboriously Explaining the kNN Code 6 danielzingaro 3180
pdf bookmarks view properties 0 shoe 702
minor error in example 1 sebastian_sohr 785
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 860
Hierarchical Clustering? 1 seth 1063
Confusing sentance in Chap 1 1 retnuH 848
Machine Learning with C# 2 Bruce Jasper 2088
Suggestion for numpy usage 1 jsaryer 1014
Gradient ascent or descent 0 jmgimeno 984
Page 69: bayessian example 1 jmgimeno 882
Listing 3.9 1 jmgimeno 1138
Listing 3.8 1 jmgimeno 878
Python style 1 jmgimeno 1283
Font for python code on iPad 4 jmgimeno 1906
Source code now on Github 0 peter.harrington 1022
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1432
Iron Python 2 LOlsen 1414
Role of ontologies in machine learning 1 ronatartifact 1217
Listing 2.1 confusion 1 shahbazc@gmail.com 1065
Watson on Jeopardy! Read and discuss! 0 mato 927
Possible Mistake In Section 1.2 1 jmwright 876
New MEAP arriving soon! 5 mato 1956
Data Sets 4 peter.harrington 1900
Machine Learning Blogs 4 peter.harrington 2080
Listing 2.1 2 grafpoo 1338
Source Library 1 DocAdam7 1106
Machine Learning for .NET 3 seth 2081