{"id":268465,"date":"2015-11-18T16:11:19","date_gmt":"2015-11-18T13:11:19","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=268465"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=268465","title":{"rendered":"51 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u0430\u044f \u043a\u043d\u0438\u0433\u0430 \u043e Data Science"},"content":{"rendered":"
\n
\u0421\u043c\u0438\u0440\u0438\u0441\u044c, \u0447\u0435\u043b\u043e\u0432\u0435\u043a 21 \u0432\u0435\u043a\u0430, \u0447\u0442\u043e \u0442\u0432\u043e\u0439 \u0433\u043b\u0430\u0432\u043d\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u2014 \u044d\u0442\u043e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f, \u0434\u0430\u043d\u043d\u044b\u0435, \u0446\u0438\u0444\u0440\u044b \u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0441 \u0438\u0445 \u043f\u043e\u043c\u043e\u0449\u044c\u044e. \u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043c\u044b \u0434\u0435\u043b\u0438\u043c\u0441\u044f \u0441 \u0432\u0430\u043c\u0438 \u043e\u0447\u0435\u043d\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u043b\u0438\u0442\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u043e Data Science! <\/h6>\n

<\/a><\/p>\n

\/\/ \u041a\u043d\u0438\u0433\u0438 \u043e\u0431\u0449\u0435\u0433\u043e \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0430<\/h4>\n

An Introduction to Data Science<\/a> (Jeffrey Stanton, 2013)
School of Data Handbook<\/a> (2015)
 Data Jujitsu: The Art of Turning Data into Product <\/a>(DJ Patil, 2012)
 Art of Data Science<\/a> (Roger D. Peng & Elizabeth Matsui, 2015)<\/p>\n

\/\/ \u0418\u043d\u0442\u0435\u0440\u0432\u044c\u044e Data Scientists<\/h4>\n

The Data Science Handbook<\/a> (Carl Shan, Henry Wang, William Chen, & Max Song, 2015)
The Data Analytics Handbook<\/a> (Brian Liou, Tristan Tao, & Declan Shener, 2015)<\/p>\n

\/\/ \u041a\u0430\u043a \u0441\u0442\u0440\u043e\u0438\u0442\u044c Data Science Teams<\/h4>\n

Data Driven: Creating a Data Culture<\/a> (Hilary Mason & DJ Patil, 2015)
Building Data Science Teams<\/a> (DJ Patil, 2011)
Understanding the Chief Data Officer<\/a> (Julie Steele, 2015)<\/p>\n

\/\/ Data Analysis<\/h4>\n

The Elements of Data Analytic Style<\/a> (Jeff Leek, 2015)<\/p>\n

\u0410 \u0435\u0449\u0451 \u043d\u0435 \u0437\u0430\u0431\u0443\u0434\u044c\u0442\u0435 \u043f\u0440\u043e 9 \u043a\u043d\u0438\u0433, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0443\u0436\u043d\u043e \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u044d\u0442\u043e\u0439 \u043e\u0441\u0435\u043d\u044c\u044e.<\/a><\/p>\n

\/\/ \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b<\/h4>\n

Hadoop: The Definitive Guide<\/a> (Tom White, 2011)
Data-Intensive Text Processing with MapReduce<\/a> (Jimmy Lin & Chris Dyer, 2010)<\/p>\n

\/\/ \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 machine learning<\/h4>\n

Introduction to Machine Learning<\/a> (Amnon Shashua, 2008)
Machine Learning<\/a> (Abdelhamid Mellouk & Abdennacer Chebira)
Machine Learning \u2013 The Complete Guide<\/a> (Wikipedia)
Social Media Mining An Introduction<\/a> (Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014)
Data Mining: Practical Machine Learning Tools and Techniques<\/a> (Ian H. Witten & Eibe Frank, 2005)
Mining of Massive Datasets<\/a> (Jure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014)
 A Programmer\u2019s Guide to Data Mining <\/a>(Ron Zacharski, 2015)
Data Mining with Rattle and R<\/a> (Graham Williams, 2011)
Data Mining and Analysis: Fundamental Concepts and Algorithms<\/a> (Mohammed J. Zaki & Wagner Meria Jr., 2014)
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More<\/a> (Matthew A. Russell, 2014)
Probabilistic Programming & Bayesian Methods for Hackers<\/a> (Cam Davidson-Pilon, 2015)
Data Mining Techniques For Marketing, Sales, and Customer Relationship Management<\/a> (Michael J.A. Berry & Gordon S. Linoff, 2004)
Inductive Logic Programming: Techniques and Applications<\/a> (Nada Lavrac & Saso Dzeroski, 1994)
Pattern Recognition and Machine Learning<\/a> (Christopher M. Bishop, 2006)
Machine Learning, Neural and Statistical Classification<\/a> (D. Michie, D.J. Spiegelhalter, & C.C. Taylor, 1999)
Information Theory, Inference, and Learning Algorithms<\/a> (David J.C. MacKay, 2005)
Data Mining and Business Analytics with R<\/a> (Johannes Ledolter, 2013)
Bayesian Reasoning and Machine Learning<\/a> (David Barber, 2014)
Gaussian Processes for Machine Learning<\/a> (C. E. Rasmussen & C. K. I. Williams, 2006)
Reinforcement Learning: An Introduction<\/a> (Richard S. Sutton & Andrew G. Barto, 2012)
Algorithms for Reinforcement Learning<\/a> (Csaba Szepesvari, 2009)
Big Data, Data Mining, and Machine Learning<\/a> (Jared Dean, 2014)
Modeling With Data <\/a>(Ben Klemens, 2008)
KB \u2013 Neural Data Mining with Python Sources<\/a> (Roberto Bello, 2013)
Deep Learning<\/a> (Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015)
Neural Networks and Deep Learning<\/a> (Michael Nielsen, 2015)
Data Mining Algorithms In R<\/a> (Wikibooks, 2014)
Data Mining and Analysis: Fundamental Concepts and Algorithms<\/a> (Mohammed J. Zaki & Wagner Meira Jr., 2014)
Theory and Applications for Advanced Text Mining<\/a> (Shigeaki Sakurai, 2012)<\/p>\n

\/\/ \u041e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0435<\/h4>\n

Think Stats: Exploratory Data Analysis in Python<\/a> (Allen B. Downey, 2014)
Think Bayes: Bayesian Statistics Made Simple<\/a> (Allen B. Downey, 2012)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction<\/a> (Trevor Hastie, Robert Tibshirani, & Jerome Friedman, 2008)
An Introduction to Statistical Learning with Applications in R<\/a> (Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani, 2013)
A First Course in Design and Analysis of Experiments<\/a> (Gary W. Oehlert, 2010)<\/p>\n

\/\/ Data-\u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f<\/h4>\n

D3 Tips and Tricks<\/a> (Malcolm Maclean, 2015)
Interactive Data Visualization for the Web<\/a> (Scott Murray, 2013)<\/p>\n

\/\/ \u0418 \u043f\u0440\u043e\u0441\u0442\u043e Big Data<\/h4>\n

Disruptive Possibilities: How Big Data Changes Everything<\/a> (Jeffrey Needham, 2013)
Real-Time Big Data Analytics: Emerging Architecture<\/a> (Mike Barlow, 2013)
Big Data Now: 2012 Edition<\/a> (O\u2019Reilly Media, Inc., 2012)<\/p>\n

\u0410 \u0435\u0449\u0451 \u0435\u0441\u0442\u044c \u0443 \u043d\u0430\u0441 \u043e\u0442\u043b\u0438\u0447\u043d\u0430\u044f \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0430 \u043a\u043d\u0438\u0433-\u0434\u0432\u0438\u0433\u0430\u0442\u0435\u043b\u0435\u0439 \u043a\u0430\u0440\u044c\u0435\u0440\u044b<\/a>. <\/p>\n

<\/div>\n

\u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 http:\/\/megamozg.ru\/post\/21350\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\n

\u0421\u043c\u0438\u0440\u0438\u0441\u044c, \u0447\u0435\u043b\u043e\u0432\u0435\u043a 21 \u0432\u0435\u043a\u0430, \u0447\u0442\u043e \u0442\u0432\u043e\u0439 \u0433\u043b\u0430\u0432\u043d\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u2014 \u044d\u0442\u043e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f, \u0434\u0430\u043d\u043d\u044b\u0435, \u0446\u0438\u0444\u0440\u044b \u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0441 \u0438\u0445 \u043f\u043e\u043c\u043e\u0449\u044c\u044e. \u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043c\u044b \u0434\u0435\u043b\u0438\u043c\u0441\u044f \u0441 \u0432\u0430\u043c\u0438 \u043e\u0447\u0435\u043d\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u043b\u0438\u0442\u0435\u0440\u0430\u0442\u0443\u0440\u044b \u043e Data Science! <\/h6>\n

<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-268465","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/268465","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=268465"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/268465\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=268465"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=268465"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=268465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}