Topic Answers Author Views
Chp5 logistic regression, why append 0th feather X0? 0 474349 31
add. exercises/problems for Machine Learning in Action 1 405316 621
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 41
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 1453
Listing 2.2 1 452752 282
Typing error on page 28 0 450973 128
Curious how figure 5.6 was generated 0 436370 174
Section 4.5.2, page 70 2 aroc725 974
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1116
In chapter 2.3.2 0 398191 340
set(dataSet[:,featIndex])? 0 389959 568
Ch 9. Tree-based regression. 0 384907 383
Is the voting logic in Listing 2.1 correct? 1 Raj 379
Errors and Corrections 86 mato 21654
Linear Regression 0 357143 430
code of stocGradAscent1 function in chapter 5 0 352354 470
Value Error on Page 26 1 Pirate9 822
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 421
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 535
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 509
To Peter Harrington 0 Mariswamy 774
Running mrSVM.py example on hadoop 0 t4ng0 1092
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 862
NCAA Basketball prediction 0 peter.harrington 721
Types of Machine Learning problems 0 pavani.reddy 731
chapter five logistic regression:a small question 1 david robben 931
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 645
Co-occurance of words 1 arindamb 806
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1467
Machine learning algorithm for numerical value estimation 1 Sam Al 880
Zip file with source code appears to be corrupt 2 pondus 1238
kMeans question 0 unkn0wn 1037
how to add a legend to the scatter plot? 1 zhaomingzhen 1045
Navie Baynes Classifier - multi-class 0 Josh_newnham 936
Bayes Theorem Incomplete Formula 0 akhil 815
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 730
adaboost features selection from large pool 0 amd_best 746
Adaboost feature selection 0 Median 969
Machine Learning APIs 0 ismaelc 811
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 837
Listing 3.1 0 xplorer4us 746
What is 45 problem? 1 wbxjj2008 1465
Improving CART decision tree learning algorithm 0 p_marini 890
listing 5.2 1 Irwin 799
Supervised Learning 0 yatici 698
Listing 3.3 question about calculation 1 Irwin 1105
Listing 4.2 2 sculpturearts 932
Thanks for your help making 2012 a great year 0 peter.harrington 811
Listing 3.4 1 sambaam 810
Array error code pag. 28 2 sdebeer 1156
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1185
Error in classification 1 sambaam 762
Errata on Github 0 peter.harrington 762
Reinforcement learning for power management 1 umair 1096
Chapter about scalable machine learning 0 Pablo07 827
Gradient Ascent / Descent 0 flopezluis 767
Converting code into F# / copyright 0 Mathias 840
Don't try to use Windows 64bit Python with this book 0 jbrown123 1971
References for academic journals 1 Chrilly 1085
prior probablities for naive Bayes. 0 chadcc 936
Some comments 1 arunr 954
chapter 11 vote smart 2 mdszekeres 1459
Chapter 10 Error in kMeans.py 7 bob_hancock 1938
2.2.1 code editing 2 mdszekeres 1510
chapter 14 0 di01 828
ignore pls. 0 pat w 967
error in using int(char) in kNN/file2matrix() 4 pat w 2100
Listing 2.1 Clarification 1 telescope7 1932
Error in Listing 2.1 0 jaywalker76 1099
Listing 2.2 Error 19 alanav 8462
Ebook formats? 3 retnuH 1576
Regression 1 RazerWolf 1065
Mistakes in the association analysis chapters 3 apfelbox 1828
The Expectation Maximization Chapter... 4 pado 1784
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1614
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1773
2.2.1 datingTestSet.txt 1 epios 4196
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1633
Page 330 a new bucket called: rustbucket. 1 edtruji 1350
misspelling page 69 0 acgrimes 930
Stanford offering free online course in Machine Learning 0 dwschulze 1681
Will the libs required for the example code work with Python 3? 2 dwschulze 1557
The Larger Errors in Chapter 2 2 danielzingaro 1748
Laboriously Explaining the kNN Code 6 danielzingaro 4153
pdf bookmarks view properties 0 shoe 958
minor error in example 1 sebastian_sohr 1087
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1165
Hierarchical Clustering? 1 seth 1385
Confusing sentance in Chap 1 1 retnuH 1146
Machine Learning with C# 2 Bruce Jasper 2418
Suggestion for numpy usage 1 jsaryer 1349
Gradient ascent or descent 0 jmgimeno 1338
Page 69: bayessian example 1 jmgimeno 1186
Listing 3.9 1 jmgimeno 1516
Listing 3.8 1 jmgimeno 1201
Python style 1 jmgimeno 1700
Font for python code on iPad 4 jmgimeno 2311
Source code now on Github 0 peter.harrington 1366
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1744
Iron Python 2 LOlsen 1830