Sources with the BigML Dashboard

Bibliography

1

The BigML Team, BigML, Inc., Time Series with the BigMLDashboard, July 2017.

2

The BigML Team, BigML, Inc., Topic Models with the BigMLDashboard, November 2016.

3

The BigML Team, BigML, Inc., Anomaly Detection with the BigMLDashboard, January 2016.

4

The BigML Team, BigML, Inc., Classification and Regression with the BigMLDashboard, May 2016.

5

The BigML Team, BigML, Inc., Cluster Analysis with the BigMLDashboard, May 2016.

6

The BigML Team, Documentation for Developers, January 2016.

7

The BigML Team, BigML, Inc., Association Discovery with the BigMLDashboard, December 2015.

8

The BigML Team, BigML, Inc., Preparing your Data for Machine Learning, January 2016.

9

The BigML Team, BigML, Inc., End to End Machine Learning, January 2016.

10

The BigML Team, BigML, Inc., Evaluations Documentation, January 2016.

11

The BigML Team, The Importance of Feature Engineering, December 2014.

12

Charles Parker, BigML, Inc., An Analysis of Performance Measures For Binary Classifiers, 2011.

13

The BigML Team, BigML, Inc., Models Documentation, January 2016.

14

The BigML Team, Data Preparation for Machine Learning Using MySQL, October 2013.

15

The BigML Team, BigML, Inc., OptiML with the BigMLDashboard, May 2018.

16

The BigML Team, How to Improve Your Predictive Model: A Post-mortem Analysis, June 2015.

17

The BigML Team, BigML, Inc., Predictions Documentation, December 2015.

18

The BigML Team, Getting Started with BigML - Data Preparation, January 2013.

19

The BigML Team, BigML, Inc., Machine Learning Primer, January 2016.

20

The BigML Team, BigML, Inc., Quick Start Guide, January 2016.

21

The BigML Team, Sign up for a BigML account, January 2016.

22

The BigML Team, BigML, Inc., Sources with the BigMLDashboard, January 2016.

23

The BigML Team, BigML, Inc., Datasets with the BigMLDashboard, January 2016.

24

Leo Breiman and Adele Cutler, Random Forests, June 2004.

25

Scott M. Lundberg and Su-In Lee, A Unified Approach to Interpreting Model Predictions, December 2017.

26

Centre Daily Times, Focus on research: Machine learning and big data help combat credit card fraud, December 2015.

27

Thomas G. Dietterich, Oregon State University, Ensemble Methods in Machine Learning, December 2000.

28

Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, September 2015.

29

Fei Tony Liu and Kai Ming Ting and Zhi-Hua Zhou, Isolation Forest Algorithm, January 2016.

30

Manuel Fernández-Delgado and Eva Cernadas and Senén Barro and Dinani Amorim, Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?, Vol. 15, p. 3133–3181, 2014.

31

Harvard Business School Publishing, How Machines Learn (And You Win), November 2015.

32

Greg Hamerly and Charles Elkan, Learning the K in K-Means, 2003.

33

Zhexue Huang, Clustering large data sets with mixed numeric and categorical values, p. 21–34 , 1997.

34

KDnuggets, What questions can data science answer?, January 2016.

35

Kevin Killourhy and Roy Maxion, Keystroke Dynamics - Benchmark Data Set, January 2016.

36

Christopher D. Manning and Prabhakar Raghavan and Hinrich Schütze, Evaluation of text classification, p. 258–263, 2008.

37

Richard Moss, Machine learning algorithms could predict breast cancer treatment responses, September 2015.

38

Dorian Pyle and Cristina San Jose, An executive’s guide to Machine Learning, June 2015.

39

R2D3, A Visual Introduction to Machine Learning, February 2016.

40

Twala, B. E. T. H. and Jones, M. C. and Hand, D. J, Good methods for coping with missing data in decision trees., Vol. 29, no. 7, p. 950–956, 2008.

41

University of Alberta, Who will win the game?, February 2016.

42

University of Washington, Pedro Domingos biography, December 2015.

43

Scholarpedia, Bagging, January 2016.

44

Home Theater Info, Downloadable Lists, January 2016.

45

Wikipedia, Anomaly Detection Techniques, January 2016.

46

Wikipedia, Association Rule Learning, January 2016.

47

Wikipedia, Euclidean Distance, January 2016.

48

Wikipedia, F1 Score, January 2016.

49

Wikipedia, Information Gain in Decision Trees, January 2016.

50

Wikipedia, K-means Clustering, January 2016.

51

Wikipedia, Mean Square Error, January 2016.

52

Wikipedia, Overfitting, January 2016.

53

Wikipedia, Mathews Correlation Coefficient, January 2016.

54

Wikipedia, Coefficient of Determination, January 2016.

55

Wikipedia, Random Decision Forests, January 2016.

56

Wikipedia, Arthur Lee Samuel biography, January 2016.

57

Wikipedia, Wilson Score Interval, January 2016.