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Formal sciences
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#	Item
281	MLBlocks Towards building machine learning blocks and predictive modeling for MOOC learner data Kalyan Veeramachaneni Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-01-07 23:06:47 Business intelligence Learning Formal sciences Cybernetics Machine learning Lurker Analytics
282	Toilet_Thermo_Governors_141015a Add to Reading List Source URL: www.dubberly.com Language: English - Date: 2016-02-03 18:30:47 Cybernetics Academia Systems science Cognitive science Risk Systems theory Formal sciences Systems thinking Second-order cybernetics System Autopoiesis Control theory
283	50 years of Data Science David Donoho Sept. 18, 2015 VersionAbstract Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Data management Formal sciences Data Data science Information science Statistics Big data Exploratory data analysis Data analysis John Tukey Mathematical statistics Open science
284	Case Study CLIENT NAME PBS Add to Reading List Source URL: www.lunametrics.com Language: English - Date: 2016-03-01 14:50:55 Economy World Wide Web Business Business intelligence Web analytics Web log analysis software Formal sciences Google Analytics Analytics PBS Google Guardian Analytics
285	On the usefulness of formal methods Freek Wiedijk Institute for Computing and Information Sciences Radboud University Nijmegen The editor of this newsletter has asked me to write something for it. Now it Add to Reading List Source URL: www.cs.ru.nl Language: English - Date: 2006-03-08 04:37:59
286	Deep Feature Synthesis: Towards Automating Data Science Endeavors James Max Kanter Kalyan Veeramachaneni Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-10-15 14:47:29 Machine learning Formal sciences Learning Artificial intelligence Statistics K-means clustering Pattern recognition Deep feature synthesis Deep learning Data mining Support vector machine Artificial neural network
287	Chenhao Tan Ph.D. Candidate Cornell University Department of Computer Science 411 Gates Hall Ithaca, NY, 14853 Add to Reading List Source URL: chenhaot.com Language: English - Date: 2016-02-27 10:57:05 Formal sciences Data mining SIGKDD Jie Tang Jon Kleinberg Science and technology in the United States Academia Information technology
288	B2 Gaming Machines Research Programme (Stage 2) Aims and objectives 1 To develop a programme of research directed at the following questions posed by RGSB : - Add to Reading List Source URL: www.responsiblegamblingtrust.org.uk Language: English - Date: 2016-02-29 08:07:53 Scientific method Formal sciences Alcohol abuse Drug culture Public health Problem gambling Exploratory data analysis Data analysis Harm reduction Artificial intelligence
289	Online Intelligence Solutions ROI in online marketing and Web Analytics B y J acque s Warren Add to Reading List Source URL: kwantyx.com Language: English - Date: 2015-05-26 22:37:06 Business intelligence Marketing analytics Formal sciences Internet marketing Web analytics Analytics Customer analytics Investment in social media Return on marketing investment
290	Alessandro Epasto Alessandro Epasto Add to Reading List Source URL: www.epasto.org Language: English - Date: 2015-11-27 13:42:46 Formal sciences Data mining SIGKDD Bipartite graph Association for Computing Machinery Computer science Computing Information technology

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