Topic Answers Author Views
add. exercises/problems for Machine Learning in Action 0 405316 55
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 845
In chapter 2.3.2 0 398191 103
set(dataSet[:,featIndex])? 0 389959 209
Ch 9. Tree-based regression. 0 384907 202
Is the voting logic in Listing 2.1 correct? 1 Raj 182
Errors and Corrections 86 mato 20013
Linear Regression 0 357143 242
code of stocGradAscent1 function in chapter 5 0 352354 296
Value Error on Page 26 1 Pirate9 561
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 229
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 375
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 350
To Peter Harrington 0 Mariswamy 564
Running mrSVM.py example on hadoop 0 t4ng0 838
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 690
NCAA Basketball prediction 0 peter.harrington 544
Types of Machine Learning problems 0 pavani.reddy 536
chapter five logistic regression:a small question 1 david robben 747
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 492
Co-occurance of words 1 arindamb 628
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1248
Machine learning algorithm for numerical value estimation 1 Sam Al 721
Zip file with source code appears to be corrupt 2 pondus 1064
kMeans question 0 unkn0wn 865
how to add a legend to the scatter plot? 1 zhaomingzhen 887
Navie Baynes Classifier - multi-class 0 Josh_newnham 777
Bayes Theorem Incomplete Formula 0 akhil 654
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 569
adaboost features selection from large pool 0 amd_best 597
Adaboost feature selection 0 Median 819
Machine Learning APIs 0 ismaelc 648
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 653
Listing 3.1 0 xplorer4us 581
What is 45 problem? 1 wbxjj2008 1228
Improving CART decision tree learning algorithm 0 p_marini 714
listing 5.2 1 Irwin 622
Supervised Learning 0 yatici 551
Listing 3.3 question about calculation 1 Irwin 919
Listing 4.2 2 sculpturearts 728
Thanks for your help making 2012 a great year 0 peter.harrington 603
Listing 3.4 1 sambaam 627
Array error code pag. 28 2 sdebeer 891
Function adaClassify in Listing 7.3 issues an error 3 p_marini 827
Error in classification 1 sambaam 583
Errata on Github 0 peter.harrington 595
Section 4.5.2, page 70 1 aroc725 740
Reinforcement learning for power management 1 umair 921
Chapter about scalable machine learning 0 Pablo07 656
Gradient Ascent / Descent 0 flopezluis 627
Converting code into F# / copyright 0 Mathias 703
Don't try to use Windows 64bit Python with this book 0 jbrown123 1788
References for academic journals 1 Chrilly 923
prior probablities for naive Bayes. 0 chadcc 773
Some comments 1 arunr 808
chapter 11 vote smart 2 mdszekeres 1228
Chapter 10 Error in kMeans.py 7 bob_hancock 1666
2.2.1 code editing 2 mdszekeres 1283
chapter 14 0 di01 657
ignore pls. 0 pat w 815
error in using int(char) in kNN/file2matrix() 4 pat w 1745
Listing 2.1 Clarification 1 telescope7 1614
Error in Listing 2.1 0 jaywalker76 935
Listing 2.2 Error 19 alanav 7087
Ebook formats? 3 retnuH 1380
Regression 1 RazerWolf 911
Mistakes in the association analysis chapters 3 apfelbox 1649
The Expectation Maximization Chapter... 4 pado 1598
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1462
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1601
2.2.1 datingTestSet.txt 1 epios 3524
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1441
Page 330 a new bucket called: rustbucket. 1 edtruji 1176
misspelling page 69 0 acgrimes 769
Stanford offering free online course in Machine Learning 0 dwschulze 1521
Will the libs required for the example code work with Python 3? 2 dwschulze 1376
The Larger Errors in Chapter 2 2 danielzingaro 1563
Laboriously Explaining the kNN Code 6 danielzingaro 3579
pdf bookmarks view properties 0 shoe 815
minor error in example 1 sebastian_sohr 924
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1000
Hierarchical Clustering? 1 seth 1226
Confusing sentance in Chap 1 1 retnuH 987
Machine Learning with C# 2 Bruce Jasper 2229
Suggestion for numpy usage 1 jsaryer 1180
Gradient ascent or descent 0 jmgimeno 1153
Page 69: bayessian example 1 jmgimeno 1009
Listing 3.9 1 jmgimeno 1305
Listing 3.8 1 jmgimeno 1016
Python style 1 jmgimeno 1451
Font for python code on iPad 4 jmgimeno 2057
Source code now on Github 0 peter.harrington 1186
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1575
Iron Python 2 LOlsen 1612
Role of ontologies in machine learning 1 ronatartifact 1345
Listing 2.1 confusion 1 shahbazc@gmail.com 1251
Watson on Jeopardy! Read and discuss! 0 mato 1053
Possible Mistake In Section 1.2 1 jmwright 1012
New MEAP arriving soon! 5 mato 2123
Data Sets 4 peter.harrington 2121