Topic Answers Author Views
Curious how figure 5.6 was generated 0 436370 66
Section 4.5.2, page 70 2 aroc725 880
add. exercises/problems for Machine Learning in Action 0 405316 428
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 991
In chapter 2.3.2 0 398191 241
set(dataSet[:,featIndex])? 0 389959 426
Ch 9. Tree-based regression. 0 384907 316
Is the voting logic in Listing 2.1 correct? 1 Raj 295
Errors and Corrections 86 mato 21054
Linear Regression 0 357143 358
code of stocGradAscent1 function in chapter 5 0 352354 387
Value Error on Page 26 1 Pirate9 706
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 320
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 467
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 428
To Peter Harrington 0 Mariswamy 670
Running mrSVM.py example on hadoop 0 t4ng0 976
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 791
NCAA Basketball prediction 0 peter.harrington 649
Types of Machine Learning problems 0 pavani.reddy 623
chapter five logistic regression:a small question 1 david robben 851
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 575
Co-occurance of words 1 arindamb 742
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1369
Machine learning algorithm for numerical value estimation 1 Sam Al 799
Zip file with source code appears to be corrupt 2 pondus 1155
kMeans question 0 unkn0wn 967
how to add a legend to the scatter plot? 1 zhaomingzhen 984
Navie Baynes Classifier - multi-class 0 Josh_newnham 878
Bayes Theorem Incomplete Formula 0 akhil 741
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 656
adaboost features selection from large pool 0 amd_best 682
Adaboost feature selection 0 Median 904
Machine Learning APIs 0 ismaelc 739
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 746
Listing 3.1 0 xplorer4us 672
What is 45 problem? 1 wbxjj2008 1357
Improving CART decision tree learning algorithm 0 p_marini 807
listing 5.2 1 Irwin 727
Supervised Learning 0 yatici 633
Listing 3.3 question about calculation 1 Irwin 1022
Listing 4.2 2 sculpturearts 857
Thanks for your help making 2012 a great year 0 peter.harrington 728
Listing 3.4 1 sambaam 735
Array error code pag. 28 2 sdebeer 1041
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1029
Error in classification 1 sambaam 697
Errata on Github 0 peter.harrington 692
Reinforcement learning for power management 1 umair 1031
Chapter about scalable machine learning 0 Pablo07 754
Gradient Ascent / Descent 0 flopezluis 700
Converting code into F# / copyright 0 Mathias 778
Don't try to use Windows 64bit Python with this book 0 jbrown123 1894
References for academic journals 1 Chrilly 1023
prior probablities for naive Bayes. 0 chadcc 863
Some comments 1 arunr 898
chapter 11 vote smart 2 mdszekeres 1374
Chapter 10 Error in kMeans.py 7 bob_hancock 1830
2.2.1 code editing 2 mdszekeres 1403
chapter 14 0 di01 756
ignore pls. 0 pat w 889
error in using int(char) in kNN/file2matrix() 4 pat w 1949
Listing 2.1 Clarification 1 telescope7 1779
Error in Listing 2.1 0 jaywalker76 1027
Listing 2.2 Error 19 alanav 8016
Ebook formats? 3 retnuH 1498
Regression 1 RazerWolf 1008
Mistakes in the association analysis chapters 3 apfelbox 1762
The Expectation Maximization Chapter... 4 pado 1712
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1555
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1705
2.2.1 datingTestSet.txt 1 epios 3939
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1565
Page 330 a new bucket called: rustbucket. 1 edtruji 1286
misspelling page 69 0 acgrimes 852
Stanford offering free online course in Machine Learning 0 dwschulze 1617
Will the libs required for the example code work with Python 3? 2 dwschulze 1493
The Larger Errors in Chapter 2 2 danielzingaro 1683
Laboriously Explaining the kNN Code 6 danielzingaro 3899
pdf bookmarks view properties 0 shoe 895
minor error in example 1 sebastian_sohr 1019
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1097
Hierarchical Clustering? 1 seth 1323
Confusing sentance in Chap 1 1 retnuH 1081
Machine Learning with C# 2 Bruce Jasper 2335
Suggestion for numpy usage 1 jsaryer 1283
Gradient ascent or descent 0 jmgimeno 1258
Page 69: bayessian example 1 jmgimeno 1112
Listing 3.9 1 jmgimeno 1433
Listing 3.8 1 jmgimeno 1127
Python style 1 jmgimeno 1614
Font for python code on iPad 4 jmgimeno 2211
Source code now on Github 0 peter.harrington 1293
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1676
Iron Python 2 LOlsen 1754
Role of ontologies in machine learning 1 ronatartifact 1446
Listing 2.1 confusion 1 shahbazc@gmail.com 1372
Watson on Jeopardy! Read and discuss! 0 mato 1154
Possible Mistake In Section 1.2 1 jmwright 1119
New MEAP arriving soon! 5 mato 2249