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.