Topic Answers Author Views
Linear Regression (Ch 8, pg 157) 0 475981 116
Listing 3.3 in calculating SubDataSet and probability 1 478706 201
Chp5 logistic regression, why append 0th feather X0? 0 474349 158
add. exercises/problems for Machine Learning in Action 1 405316 821
Ch12- RuntimeError: dictionary changed size during iteration 0 468115 134
The modern ANN approach RLM (Ryskamp Learning Machine) on board. 0 464531 2544
Listing 2.2 1 452752 489
Typing error on page 28 0 450973 262
Curious how figure 5.6 was generated 0 Richard Cook 271
Section 4.5.2, page 70 2 aroc725 1080
listing 14.3, when is the xformedItems calculated this way? 1 jiunjiunma 1239
In chapter 2.3.2 0 398191 451
set(dataSet[:,featIndex])? 0 389959 705
Ch 9. Tree-based regression. 0 384907 460
Is the voting logic in Listing 2.1 correct? 1 Raj 516
Errors and Corrections 86 mato 23289
Linear Regression 0 357143 500
code of stocGradAscent1 function in chapter 5 0 352354 575
Value Error on Page 26 1 Pirate9 912
Page 23 , incorrect indent in Pseudocode can be confusing 0 350296 520
Listing 4.7: Rationale for p0V[i] > -6.0, p1V[i] > -6.0 Threshold Tests 0 Tim S 607
Are there Fig 6-7, Fig 6-8 python programmes? 0 Ronggang Huang 560
To Peter Harrington 0 Mariswamy 856
Running mrSVM.py example on hadoop 0 t4ng0 1290
Gradient Ascent in Chapter 5 : What are we optimizing? 1 vvvvalvalval 947
NCAA Basketball prediction 0 peter.harrington 794
Types of Machine Learning problems 0 pavani.reddy 785
chapter five logistic regression:a small question 1 david robben 991
Generating independent feature dataset for Naive Bayes classifier 0 Sam Al 708
Co-occurance of words 1 arindamb 884
Java Source Code for ID3 Algorithm,PostPrunning with ID3 and Random forest 0 amanda175 1569
Machine learning algorithm for numerical value estimation 1 Sam Al 951
Zip file with source code appears to be corrupt 2 pondus 1327
kMeans question 0 unkn0wn 1098
how to add a legend to the scatter plot? 1 zhaomingzhen 1114
Navie Baynes Classifier - multi-class 0 Josh_newnham 992
Bayes Theorem Incomplete Formula 0 akhil 885
3.1.2 Splitting the dataset - trouble understanding 0 rkappler 812
adaboost features selection from large pool 0 amd_best 813
Adaboost feature selection 0 Median 1038
Machine Learning APIs 0 ismaelc 861
Why def setOfWords2Vec returns "better" results than def bagOfWords2VecMN?? 0 mikehansen83 905
Listing 3.1 0 xplorer4us 845
What is 45 problem? 1 wbxjj2008 1583
Improving CART decision tree learning algorithm 0 p_marini 971
listing 5.2 1 Irwin 871
Supervised Learning 0 yatici 751
Listing 3.3 question about calculation 1 Irwin 1171
Listing 4.2 2 sculpturearts 1022
Thanks for your help making 2012 a great year 0 peter.harrington 869
Listing 3.4 1 sambaam 884
Array error code pag. 28 2 sdebeer 1302
Function adaClassify in Listing 7.3 issues an error 3 p_marini 1321
Error in classification 1 sambaam 823
Errata on Github 0 peter.harrington 806
Reinforcement learning for power management 1 umair 1159
Chapter about scalable machine learning 0 Pablo07 896
Gradient Ascent / Descent 0 flopezluis 833
Converting code into F# / copyright 0 Mathias 903
Don't try to use Windows 64bit Python with this book 0 jbrown123 2047
References for academic journals 1 Chrilly 1167
prior probablities for naive Bayes. 0 chadcc 988
Some comments 1 arunr 1023
chapter 11 vote smart 2 mdszekeres 1549
Chapter 10 Error in kMeans.py 7 bob_hancock 2109
2.2.1 code editing 2 mdszekeres 1591
chapter 14 0 di01 896
ignore pls. 0 pat w 1023
error in using int(char) in kNN/file2matrix() 4 pat w 2280
Listing 2.1 Clarification 1 telescope7 2126
Error in Listing 2.1 0 jaywalker76 1173
Listing 2.2 Error 19 alanav 8892
Ebook formats? 3 retnuH 1663
Regression 1 RazerWolf 1120
Mistakes in the association analysis chapters 3 apfelbox 1919
The Expectation Maximization Chapter... 4 pado 1854
b = 0; m,n = shape(dataMatrix) problem in Python 2.7 1 azima 1698
No source code for SVD chapter ( chapter 14 ) 1 dangjaya 1842
2.2.1 datingTestSet.txt 1 epios 4497
Page 348, The examples are not guaranteed to work with Python 3.X, 2 edtruji 1714
Page 330 a new bucket called: rustbucket. 1 edtruji 1410
misspelling page 69 0 acgrimes 993
Stanford offering free online course in Machine Learning 0 dwschulze 1753
Will the libs required for the example code work with Python 3? 2 dwschulze 1649
The Larger Errors in Chapter 2 2 danielzingaro 1831
Laboriously Explaining the kNN Code 6 danielzingaro 4624
pdf bookmarks view properties 0 shoe 1022
minor error in example 1 sebastian_sohr 1155
Stanford to offer free on-line course on Machine Learning and AI 0 peter.harrington 1221
Hierarchical Clustering? 1 seth 1450
Confusing sentance in Chap 1 1 retnuH 1212
Machine Learning with C# 2 Bruce Jasper 2508
Suggestion for numpy usage 1 jsaryer 1416
Gradient ascent or descent 0 jmgimeno 1401
Page 69: bayessian example 1 jmgimeno 1251
Listing 3.9 1 jmgimeno 1586
Listing 3.8 1 jmgimeno 1271
Python style 1 jmgimeno 1774
Font for python code on iPad 4 jmgimeno 2392
Source code now on Github 0 peter.harrington 1458