Topic Answers Author Views
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 301
Listing 2.2 1 452752 200
Typing error on page 28 0 450973 90
Curious how figure 5.6 was generated 0 436370 142
Section 4.5.2, page 70 2 aroc725 952
add. exercises/problems for Machine Learning in Action 0 405316 519
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1085
In chapter 2.3.2 0 398191 307
set(dataSet[:,featIndex])? 0 389959 520
Ch 9. Tree-based regression. 0 384907 358
Is the voting logic in Listing 2.1 correct? 1 Raj 352
Errors and Corrections 86 mato 21371
Linear Regression 0 357143 405
code of stocGradAscent1 function in chapter 5 0 352354 438
Value Error on Page 26 1 Pirate9 785
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 378
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 511
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 487
To Peter Harrington 0 Mariswamy 731
Running mrSVM.py example on hadoop 0 t4ng0 1043
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 839
NCAA Basketball prediction 0 peter.harrington 694
Types of Machine Learning problems 0 pavani.reddy 703
chapter five logistic regression:a small question 1 david robben 901
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 627
Co-occurance of words 1 arindamb 784
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1431
Machine learning algorithm for numerical value estimation 1 Sam Al 852
Zip file with source code appears to be corrupt 2 pondus 1207
kMeans question 0 unkn0wn 1014
how to add a legend to the scatter plot? 1 zhaomingzhen 1026
Navie Baynes Classifier - multi-class 0 Josh_newnham 920
Bayes Theorem Incomplete Formula 0 akhil 790
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 704
adaboost features selection from large pool 0 amd_best 725
Adaboost feature selection 0 Median 949
Machine Learning APIs 0 ismaelc 788
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 802
Listing 3.1 0 xplorer4us 715
What is 45 problem? 1 wbxjj2008 1421
Improving CART decision tree learning algorithm 0 p_marini 857
listing 5.2 1 Irwin 775
Supervised Learning 0 yatici 679
Listing 3.3 question about calculation 1 Irwin 1089
Listing 4.2 2 sculpturearts 911
Thanks for your help making 2012 a great year 0 peter.harrington 788
Listing 3.4 1 sambaam 791
Array error code pag. 28 2 sdebeer 1115
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1121
Error in classification 1 sambaam 746
Errata on Github 0 peter.harrington 742
Reinforcement learning for power management 1 umair 1078
Chapter about scalable machine learning 0 Pablo07 808
Gradient Ascent / Descent 0 flopezluis 748
Converting code into F# / copyright 0 Mathias 823
Don't try to use Windows 64bit Python with this book 0 jbrown123 1942
References for academic journals 1 Chrilly 1061
prior probablities for naive Bayes. 0 chadcc 916
Some comments 1 arunr 938
chapter 11 vote smart 2 mdszekeres 1425
Chapter 10 Error in kMeans.py 7 bob_hancock 1891
2.2.1 code editing 2 mdszekeres 1473
chapter 14 0 di01 808
ignore pls. 0 pat w 943
error in using int(char) in kNN/file2matrix() 4 pat w 2033
Listing 2.1 Clarification 1 telescope7 1879
Error in Listing 2.1 0 jaywalker76 1076
Listing 2.2 Error 19 alanav 8270
Ebook formats? 3 retnuH 1550
Regression 1 RazerWolf 1049
Mistakes in the association analysis chapters 3 apfelbox 1816
The Expectation Maximization Chapter... 4 pado 1765
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1595
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1753
2.2.1 datingTestSet.txt 1 epios 4093
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1613
Page 330 a new bucket called: rustbucket. 1 edtruji 1329
misspelling page 69 0 acgrimes 910
Stanford offering free online course in Machine Learning 0 dwschulze 1662
Will the libs required for the example code work with Python 3? 2 dwschulze 1535
The Larger Errors in Chapter 2 2 danielzingaro 1727
Laboriously Explaining the kNN Code 6 danielzingaro 4028
pdf bookmarks view properties 0 shoe 942
minor error in example 1 sebastian_sohr 1069
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1143
Hierarchical Clustering? 1 seth 1360
Confusing sentance in Chap 1 1 retnuH 1125
Machine Learning with C# 2 Bruce Jasper 2388
Suggestion for numpy usage 1 jsaryer 1333
Gradient ascent or descent 0 jmgimeno 1318
Page 69: bayessian example 1 jmgimeno 1169
Listing 3.9 1 jmgimeno 1497
Listing 3.8 1 jmgimeno 1178
Python style 1 jmgimeno 1678
Font for python code on iPad 4 jmgimeno 2283
Source code now on Github 0 peter.harrington 1344
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1725
Iron Python 2 LOlsen 1807
Role of ontologies in machine learning 1 ronatartifact 1491
Listing 2.1 confusion 1 shahbazc@gmail.com 1418