{"product_id":"handbook-on-big-data-and-machine-learning-in-the-physical-sciences-in-2-volumes-world-scientific-emerging-technologies-avram-bar-cohen-memorial-1","title":"Handbook on Big Data and Machine Learning in the Physical Sciences (in 2 Volumes) (World Scientific Emerging Technologies: Avram Bar-Cohen Memorial #1)","description":"\n\u003ctable align=\"center\" border=\"0\" cellpadding=\"2\" cellspacing=\"0\" width=\"100%\"\u003e\n\u003ctr\u003e\n\u003ctd class=\"productDetailSmallElements\"\u003e\n\u003cp\u003e\n\u003cstrong\u003eJacket Description\/Flap\u003c\/strong\u003e:\u003cbr\u003e\n\t\t\t\t\t\t\t\tThis compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics. \n\u003c\/p\u003e\n\u003cp\u003e Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument \"€\" driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003ePublisher Marketing\u003c\/strong\u003e:\u003cbr\u003e\n\t\t\t\t\t\t\t\tThis compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument -- driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.\u003cbr\u003e\u003cbr\u003e\n\n\u003cbr\u003e\n\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n","brand":"World Scientific Publishing Company","offers":[{"title":"Default Title","offer_id":47448909906051,"sku":"9789811204449","price":1176.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0564\/6830\/8099\/files\/9789811204449.jpg?v=1783319061","url":"https:\/\/sebink.com\/products\/handbook-on-big-data-and-machine-learning-in-the-physical-sciences-in-2-volumes-world-scientific-emerging-technologies-avram-bar-cohen-memorial-1","provider":"Sebink","version":"1.0","type":"link"}