TY - BOOK ID - 21537832 TI - Intelligent Techniques for Data Science AU - Akerkar, Rajendra. AU - Sajja, Priti Srinivas. PY - 2016 SN - 3319292064 3319292056 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer science. KW - Knowledge management. KW - Data mining. KW - Artificial intelligence. KW - Computer Science. KW - Data Mining and Knowledge Discovery. KW - Artificial Intelligence (incl. Robotics). KW - Knowledge Management. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Management of knowledge assets KW - Informatics KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Database searching KW - Management KW - Information technology KW - Intellectual capital KW - Organizational learning KW - Science KW - Artificial Intelligence. KW - Quantitative research. UR - https://www.unicat.be/uniCat?func=search&query=sysid:21537832 AB - This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism. ER -