Home > Computers & Technology > Databases & Big Data > Data Mining
Data Mining
Statistical Reinforcement Learning: Modern Machine Learning Approaches by Masashi Sugiyama
mobi, epub |rus | 2015-03-26 | Author:Masashi Sugiyama

86 Statistical Reinforcement Learning 1 10 Gaussian density True Laplacian density Sample with noise 8 0.8 6 0.6 4 2 0.4 Immediate reward 0 0.2 −2 −4 0 0.55 1.5 ...
( Category: Machine Theory May 27,2017 )
Hacking Happiness by John Havens
epub |eng | 2014-03-19 | Author:John Havens

I Speak H(app)y Accountability-based influence provides a language for currency that should be used in the Connected World. Once we build our own individual economies, our actions more than our ...
( Category: Hacking May 26,2017 )
Everybody Lies by Seth Stephens-Davidowitz
epub, azw3 |eng | 2017-04-07 | Author:Seth Stephens-Davidowitz

My personal favorite study by Raj Chetty’s team, which had access to that massive collection of IRS data, was their inquiry into why some people cheat on their taxes while ...
( Category: Information Management May 16,2017 )
Statistics for Big Data for Dummies by Alan Anderson & David Semmelroth
epub |eng | 2015-08-14 | Author:Alan Anderson & David Semmelroth

The scatter plot shows that as X increases, Y tends to decrease; the trend line has a negative slope. Therefore, X and Y are negatively correlated. Figure 12-5 shows a ...
( Category: Data Mining November 30,2016 )
Data Love by Simanowski Roberto;
epub |eng, eng | 2016-09-12 | Author:Simanowski, Roberto;

13 DIGITAL HUMANITIES IF in former times it was possible that an unmeasured hill could insult rationality, it is now rationality that—statistically instrumentalized—insults itself. The excesses in measurement of the ...
( Category: Democracy September 18,2016 )
Beginning SQL Queries by Clare Churcher
epub |eng | | Author:Clare Churcher

As a small aside, many people wonder why this operation is called division, as it doesn’t seem to relate particularly well to something like 4 divided by 2. Division is ...
( Category: Data Mining July 27,2016 )
Java: Artificial Intelligence; Made Easy, w/ Java Programming; Learn to Create your * Problem Solving * Algorithms! TODAY! w/ Machine Learning & Data Structures (Artificial Intelligence Series)
azw3 |eng | 2016-01-03 | Author:Code Well Academy & R.M.Z.

Javascript 03a: Environment Models with Javascript For the procedure below, select an IDE of your choice. You may also use online IDE’s such as rextester.com, ideone.com, or codepad.org. ========================= ====== ...
( Category: Beginner's Guides March 31,2016 )
The New Relational Database Dictionary by C. J. Date
mobi, epub |eng | 2016-01-14 | Author:C. J. Date

table 1. SQL analog of either a relation or a relvar, as the context demands. Here are some of the major differences between tables in SQL and their relational counterparts: ...
( Category: Information Theory January 15,2016 )
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Baesens Bart & Van Vlasselaer Veronique & Verbeke Wouter
epub |eng | 2015-07-26 | Author:Baesens, Bart & Van Vlasselaer, Veronique & Verbeke, Wouter

Figure 4.37 Calculating Predictions Using a Cut-Off A confusion matrix can now be calculated as shown in Table 4.5. Table 4.5 Confusion Matrix Actual Status Positive (Fraud) Negative (No Fraud) ...
( Category: Data Mining December 31,2015 )
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series) by Baesens Bart & Van Vlasselaer Veronique & Verbeke Wouter
azw3 |eng | 2015-07-26 | Author:Baesens, Bart & Van Vlasselaer, Veronique & Verbeke, Wouter [Baesens, Bart]

Figure 4.37 Calculating Predictions Using a Cut-Off A confusion matrix can now be calculated as shown in Table 4.5. Table 4.5 Confusion Matrix Actual Status Positive (Fraud) Negative (No Fraud) ...
( Category: Data Mining December 31,2015 )
Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl) by Erl Thomas & Khattak Wajid & Buhler Paul
azw3 |eng | 2015-12-29 | Author:Erl, Thomas & Khattak, Wajid & Buhler, Paul [Erl, Thomas]

Figure 5.14 An example of the combination of sharding and peer-to-peer replication. CAP Theorem The Consistency, Availability, and Partition tolerance (CAP) theorem, also known as Brewer’s theorem, expresses a triple ...
( Category: Data Mining December 31,2015 )
The Patient Revolution by Tailor Krisa
epub |eng | 2015-12-14 | Author:Tailor, Krisa

While all of this is exciting progress for behavior change, we need more direct-to-consumer tools to give behavior change the push it needs. We've talked about how healthcare providers and ...
( Category: Data Mining December 30,2015 )
The Patient Revolution: How Big Data and Analytics Are Transforming the Health Care Experience (Wiley and SAS Business Series) by Tailor Krisa
azw3 |eng | 2015-12-14 | Author:Tailor, Krisa [Tailor, Krisa]

While all of this is exciting progress for behavior change, we need more direct-to-consumer tools to give behavior change the push it needs. We've talked about how healthcare providers and ...
( Category: Data Mining December 30,2015 )
Statistics For Big Data For Dummies by Anderson Alan
epub |eng | 2015-08-10 | Author:Anderson, Alan

The scatter plot shows that as X increases, Y tends to decrease; the trend line has a negative slope. Therefore, X and Y are negatively correlated. Figure 12-5 shows a ...
( Category: Data Mining December 29,2015 )
Statistics for Big Data For Dummies by Anderson Alan
azw3 |eng | 2015-08-10 | Author:Anderson, Alan [Anderson, Alan]

Figure 12-4 shows a scatter plot and the trend line for two variables that are negatively correlated. © John Wiley & Sons, Inc. Figure 12-4: Scatter plot of two negatively ...
( Category: Data Mining December 29,2015 )

First Prev [13] [14] [15] [16] 17 [18] [19] [20] Next Last