Topic Answers Author Views
Listing 3.3 in calculating SubDataSet and probability 1 478706 86
Chp5 logistic regression, why append 0th feather X0? 0 474349 105
add. exercises/problems for Machine Learning in Action 1 405316 717
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 86
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2457
Listing 2.2 1 452752 399
Typing error on page 28 0 450973 208
Curious how figure 5.6 was generated 0 Richard Cook 211
Section 4.5.2, page 70 2 aroc725 1010
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1168
In chapter 2.3.2 0 398191 392
set(dataSet[:,featIndex])? 0 389959 631
Ch 9. Tree-based regression. 0 384907 419
Is the voting logic in Listing 2.1 correct? 1 Raj 444
Errors and Corrections 86 mato 22422
Linear Regression 0 357143 463
code of stocGradAscent1 function in chapter 5 0 352354 531
Value Error on Page 26 1 Pirate9 873
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 475
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 565
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 530
To Peter Harrington 0 Mariswamy 815
Running mrSVM.py example on hadoop 0 t4ng0 1202
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 897
NCAA Basketball prediction 0 peter.harrington 756
Types of Machine Learning problems 0 pavani.reddy 755
chapter five logistic regression:a small question 1 david robben 953
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 673
Co-occurance of words 1 arindamb 839
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1514
Machine learning algorithm for numerical value estimation 1 Sam Al 914
Zip file with source code appears to be corrupt 2 pondus 1280
kMeans question 0 unkn0wn 1064
how to add a legend to the scatter plot? 1 zhaomingzhen 1075
Navie Baynes Classifier - multi-class 0 Josh_newnham 959
Bayes Theorem Incomplete Formula 0 akhil 838
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 765
adaboost features selection from large pool 0 amd_best 775
Adaboost feature selection 0 Median 994
Machine Learning APIs 0 ismaelc 832
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 866
Listing 3.1 0 xplorer4us 806
What is 45 problem? 1 wbxjj2008 1516
Improving CART decision tree learning algorithm 0 p_marini 922
listing 5.2 1 Irwin 827
Supervised Learning 0 yatici 723
Listing 3.3 question about calculation 1 Irwin 1132
Listing 4.2 2 sculpturearts 965
Thanks for your help making 2012 a great year 0 peter.harrington 833
Listing 3.4 1 sambaam 840
Array error code pag. 28 2 sdebeer 1218
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1257
Error in classification 1 sambaam 788
Errata on Github 0 peter.harrington 780
Reinforcement learning for power management 1 umair 1121
Chapter about scalable machine learning 0 Pablo07 852
Gradient Ascent / Descent 0 flopezluis 792
Converting code into F# / copyright 0 Mathias 863
Don't try to use Windows 64bit Python with this book 0 jbrown123 1997
References for academic journals 1 Chrilly 1121
prior probablities for naive Bayes. 0 chadcc 961
Some comments 1 arunr 983
chapter 11 vote smart 2 mdszekeres 1503
Chapter 10 Error in kMeans.py 7 bob_hancock 2005
2.2.1 code editing 2 mdszekeres 1545
chapter 14 0 di01 855
ignore pls. 0 pat w 991
error in using int(char) in kNN/file2matrix() 4 pat w 2201
Listing 2.1 Clarification 1 telescope7 2019
Error in Listing 2.1 0 jaywalker76 1126
Listing 2.2 Error 19 alanav 8681
Ebook formats? 3 retnuH 1619
Regression 1 RazerWolf 1089
Mistakes in the association analysis chapters 3 apfelbox 1862
The Expectation Maximization Chapter... 4 pado 1808
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1643
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1803
2.2.1 datingTestSet.txt 1 epios 4360
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1666
Page 330 a new bucket called: rustbucket. 1 edtruji 1376
misspelling page 69 0 acgrimes 951
Stanford offering free online course in Machine Learning 0 dwschulze 1710
Will the libs required for the example code work with Python 3? 2 dwschulze 1588
The Larger Errors in Chapter 2 2 danielzingaro 1774
Laboriously Explaining the kNN Code 6 danielzingaro 4348
pdf bookmarks view properties 0 shoe 984
minor error in example 1 sebastian_sohr 1112
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1186
Hierarchical Clustering? 1 seth 1420
Confusing sentance in Chap 1 1 retnuH 1172
Machine Learning with C# 2 Bruce Jasper 2468
Suggestion for numpy usage 1 jsaryer 1371
Gradient ascent or descent 0 jmgimeno 1362
Page 69: bayessian example 1 jmgimeno 1215
Listing 3.9 1 jmgimeno 1541
Listing 3.8 1 jmgimeno 1235
Python style 1 jmgimeno 1731
Font for python code on iPad 4 jmgimeno 2341
Source code now on Github 0 peter.harrington 1410
MEAP v3 coming soon! It adds chapters 6, 7, and appendix A. 0 mato 1768