Topic Answers Author Views
Linear Regression 0 357143 18
code of stocGradAscent1 function in chapter 5 0 352354 111
Value Error on Page 26 1 Pirate9 339
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 41
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 199
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 186
To Peter Harrington 0 Mariswamy 383
Running mrSVM.py example on hadoop 0 t4ng0 508
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 487
NCAA Basketball prediction 0 peter.harrington 355
Types of Machine Learning problems 0 pavani.reddy 355
chapter five logistic regression:a small question 1 david robben 562
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 328
Co-occurance of words 1 arindamb 447
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 971
Machine learning algorithm for numerical value estimation 1 Sam Al 555
Zip file with source code appears to be corrupt 2 pondus 869
kMeans question 0 unkn0wn 649
how to add a legend to the scatter plot? 1 zhaomingzhen 676
Navie Baynes Classifier - multi-class 0 Josh_newnham 577
Bayes Theorem Incomplete Formula 0 akhil 495
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 405
adaboost features selection from large pool 0 amd_best 431
Adaboost feature selection 0 Median 622
Machine Learning APIs 0 ismaelc 497
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 483
Listing 3.1 0 xplorer4us 412
What is 45 problem? 1 wbxjj2008 950
Improving CART decision tree learning algorithm 0 p_marini 503
listing 5.2 1 Irwin 468
listing 14.3, when is the xformedItems calculated this way? 0 jiunjiunma 615
Supervised Learning 0 yatici 406
Listing 3.3 question about calculation 1 Irwin 678
Listing 4.2 2 sculpturearts 525
Thanks for your help making 2012 a great year 0 peter.harrington 404
Listing 3.4 1 sambaam 469
Array error code pag. 28 2 sdebeer 648
Function adaClassify in Listing 7.3 issues an error 3 p_marini 589
Error in classification 1 sambaam 420
Errata on Github 0 peter.harrington 442
Section 4.5.2, page 70 1 aroc725 568
Reinforcement learning for power management 1 umair 761
Chapter about scalable machine learning 0 Pablo07 493
Gradient Ascent / Descent 0 flopezluis 475
Converting code into F# / copyright 0 Mathias 532
Don't try to use Windows 64bit Python with this book 0 jbrown123 1512
References for academic journals 1 Chrilly 756
prior probablities for naive Bayes. 0 chadcc 609
Some comments 1 arunr 653
chapter 11 vote smart 2 mdszekeres 1045
Chapter 10 Error in kMeans.py 7 bob_hancock 1320
2.2.1 code editing 2 mdszekeres 1049
chapter 14 0 di01 493
ignore pls. 0 pat w 618
error in using int(char) in kNN/file2matrix() 4 pat w 1448
Listing 2.1 Clarification 1 telescope7 1310
Error in Listing 2.1 0 jaywalker76 729
Listing 2.2 Error 19 alanav 6264
Ebook formats? 3 retnuH 1220
Regression 1 RazerWolf 749
Mistakes in the association analysis chapters 3 apfelbox 1431
The Expectation Maximization Chapter... 4 pado 1418
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1281
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1443
2.2.1 datingTestSet.txt 1 epios 2825
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1291
Page 330 a new bucket called: rustbucket. 1 edtruji 986
misspelling page 69 0 acgrimes 625
Stanford offering free online course in Machine Learning 0 dwschulze 1348
Will the libs required for the example code work with Python 3? 2 dwschulze 1195
The Larger Errors in Chapter 2 2 danielzingaro 1308
Laboriously Explaining the kNN Code 6 danielzingaro 3102
pdf bookmarks view properties 0 shoe 684
minor error in example 1 sebastian_sohr 768
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 836
Hierarchical Clustering? 1 seth 1011
Confusing sentance in Chap 1 1 retnuH 824
Machine Learning with C# 2 Bruce Jasper 2055
Suggestion for numpy usage 1 jsaryer 991
Gradient ascent or descent 0 jmgimeno 930
Page 69: bayessian example 1 jmgimeno 864
Listing 3.9 1 jmgimeno 1086
Listing 3.8 1 jmgimeno 857
Python style 1 jmgimeno 1263
Font for python code on iPad 4 jmgimeno 1881
Source code now on Github 0 peter.harrington 975
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1399
Iron Python 2 LOlsen 1375
Role of ontologies in machine learning 1 ronatartifact 1203
Listing 2.1 confusion 1 shahbazc@gmail.com 1020
Watson on Jeopardy! Read and discuss! 0 mato 908
Possible Mistake In Section 1.2 1 jmwright 852
New MEAP arriving soon! 5 mato 1935
Data Sets 4 peter.harrington 1845
Machine Learning Blogs 4 peter.harrington 2038
Listing 2.1 2 grafpoo 1282
Source Library 1 DocAdam7 1083
Machine Learning for .NET 3 seth 2063
Errors and Corrections 84 mato 18377