Topic Answers Author Views
add. exercises/problems for Machine Learning in Action 0 405316 258
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 934
In chapter 2.3.2 0 398191 166
set(dataSet[:,featIndex])? 0 389959 309
Ch 9. Tree-based regression. 0 384907 261
Is the voting logic in Listing 2.1 correct? 1 Raj 247
Errors and Corrections 86 mato 20559
Linear Regression 0 357143 319
code of stocGradAscent1 function in chapter 5 0 352354 350
Value Error on Page 26 1 Pirate9 631
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 278
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 429
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 396
To Peter Harrington 0 Mariswamy 626
Running mrSVM.py example on hadoop 0 t4ng0 910
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 738
NCAA Basketball prediction 0 peter.harrington 604
Types of Machine Learning problems 0 pavani.reddy 583
chapter five logistic regression:a small question 1 david robben 802
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 537
Co-occurance of words 1 arindamb 688
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1301
Machine learning algorithm for numerical value estimation 1 Sam Al 766
Zip file with source code appears to be corrupt 2 pondus 1115
kMeans question 0 unkn0wn 918
how to add a legend to the scatter plot? 1 zhaomingzhen 940
Navie Baynes Classifier - multi-class 0 Josh_newnham 838
Bayes Theorem Incomplete Formula 0 akhil 705
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 616
adaboost features selection from large pool 0 amd_best 641
Adaboost feature selection 0 Median 864
Machine Learning APIs 0 ismaelc 703
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 708
Listing 3.1 0 xplorer4us 635
What is 45 problem? 1 wbxjj2008 1292
Improving CART decision tree learning algorithm 0 p_marini 764
listing 5.2 1 Irwin 679
Supervised Learning 0 yatici 598
Listing 3.3 question about calculation 1 Irwin 981
Listing 4.2 2 sculpturearts 799
Thanks for your help making 2012 a great year 0 peter.harrington 667
Listing 3.4 1 sambaam 685
Array error code pag. 28 2 sdebeer 957
Function adaClassify in Listing 7.3 issues an error 3 p_marini 913
Error in classification 1 sambaam 643
Errata on Github 0 peter.harrington 649
Section 4.5.2, page 70 1 aroc725 803
Reinforcement learning for power management 1 umair 983
Chapter about scalable machine learning 0 Pablo07 717
Gradient Ascent / Descent 0 flopezluis 671
Converting code into F# / copyright 0 Mathias 748
Don't try to use Windows 64bit Python with this book 0 jbrown123 1848
References for academic journals 1 Chrilly 981
prior probablities for naive Bayes. 0 chadcc 826
Some comments 1 arunr 856
chapter 11 vote smart 2 mdszekeres 1300
Chapter 10 Error in kMeans.py 7 bob_hancock 1748
2.2.1 code editing 2 mdszekeres 1340
chapter 14 0 di01 711
ignore pls. 0 pat w 855
error in using int(char) in kNN/file2matrix() 4 pat w 1845
Listing 2.1 Clarification 1 telescope7 1691
Error in Listing 2.1 0 jaywalker76 984
Listing 2.2 Error 19 alanav 7683
Ebook formats? 3 retnuH 1446
Regression 1 RazerWolf 965
Mistakes in the association analysis chapters 3 apfelbox 1712
The Expectation Maximization Chapter... 4 pado 1656
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1512
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1653
2.2.1 datingTestSet.txt 1 epios 3762
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1503
Page 330 a new bucket called: rustbucket. 1 edtruji 1238
misspelling page 69 0 acgrimes 816
Stanford offering free online course in Machine Learning 0 dwschulze 1569
Will the libs required for the example code work with Python 3? 2 dwschulze 1437
The Larger Errors in Chapter 2 2 danielzingaro 1626
Laboriously Explaining the kNN Code 6 danielzingaro 3712
pdf bookmarks view properties 0 shoe 862
minor error in example 1 sebastian_sohr 981
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1049
Hierarchical Clustering? 1 seth 1276
Confusing sentance in Chap 1 1 retnuH 1037
Machine Learning with C# 2 Bruce Jasper 2280
Suggestion for numpy usage 1 jsaryer 1229
Gradient ascent or descent 0 jmgimeno 1210
Page 69: bayessian example 1 jmgimeno 1063
Listing 3.9 1 jmgimeno 1369
Listing 3.8 1 jmgimeno 1072
Python style 1 jmgimeno 1536
Font for python code on iPad 4 jmgimeno 2139
Source code now on Github 0 peter.harrington 1243
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1628
Iron Python 2 LOlsen 1694
Role of ontologies in machine learning 1 ronatartifact 1400
Listing 2.1 confusion 1 shahbazc@gmail.com 1319
Watson on Jeopardy! Read and discuss! 0 mato 1109
Possible Mistake In Section 1.2 1 jmwright 1069
New MEAP arriving soon! 5 mato 2178
Data Sets 4 peter.harrington 2192