{"product_id":"from-statistical-physics-to-data-driven-modelling-with-applications-to-quantitative-biology-hardcover","title":"From Statistical Physics to Data-Driven Modelling: With Applications to Quantitative Biology - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSimona Cocco\u003c\/b\u003e (Author), \u003cb\u003eRémi Monasson\u003c\/b\u003e (Author), \u003cb\u003eFrancesco Zamponi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThe study of most scientific fields now relies on an ever-increasing amount of data, due to instrumental and experimental progress in monitoring and manipulating complex systems made of many microscopic constituents. How can we make sense of such data, and use them to enhance our understanding of biological, physical, and chemical systems? \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAimed at graduate students in physics, applied mathematics, and computational biology, the primary objective of this textbook is to introduce the concepts and methods necessary to answer this question at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning. \u003cp\u003e\u003c\/p\u003eThe second objective of this book is to provide practical applications for these methods, which will allow students to assimilate the underlying ideas and techniques. While readers of this textbook will need basic knowledge in programming (Python or an equivalent language), the main emphasis is not on mathematical rigour, but on the development of intuition and the deep connections with statistical physics.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eSimona Cocco, \u003cem\u003eDirector of Research, CNRS, École Normale Supérieure\u003c\/em\u003e, Rémi Monasson, \u003cem\u003eDirector of Research, CNRS, École Normale Supérieure\u003c\/em\u003e, Francesco Zamponi, \u003cem\u003eResearcher, CNRS, École Normale Supérieure\u003c\/em\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eSimona Cocco\u003c\/strong\u003e is a research Director at the Ecole Normale Supérieure in Paris, working on statistical physics, biophysics, and inference of models from data. In 2000, she received a double PhD in Physics from the Ecole Normale Supérieure in Lyon and Biophysics from the University of Rome \"Sapienza\" and was then a postdoc at the ENS in Paris and in Chicago, before joining the CNRS in 2001 as a permanent researcher. Between 2009 and 2011 she was a senior member at the Institute of Advanced Study in Princeton. \u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eRémi Monasson\u003c\/strong\u003e is a research Director at the CNRS and the Ecole Normale Supérieure, and a professor at the Ecole Polytechnique. He did his PhD on the statistical mechanics of neural networks, and was then a postdoc in Rome, working on disordered systems and phase transitions in optimisation problems. He later worked on biophysics and systems biology in Chicago and at the Institute for Advanced Study in Princeton. His research interests lie at the intersection of statistical physics, machine learning and computational biology. \u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eFrancesco Zamponi\u003c\/strong\u003e received his PhD in Theoretical Physics from the University of Rome \"Sapienza\" and was then a postdoc at the ENS and the CEA in Paris, before joining the CNRS in 2008 as a permanent researcher. He is currently based at the Physics Department of the ENS in Paris. His research is driven by the application of ideas and methods issued from the statistical mechanics of complex systems, to problems arising in classical and quantum condensed matter, biology, information theory, and mathematics. He has published over 130 research articles, and is the author of a chapter for the \u003cem\u003eHandbook of Satisfiability\u003c\/em\u003e (IOS Press 2021) and a book on the \u003cem\u003eTheory of Simple Glasses\u003c\/em\u003e (Cambridge University Press 2019). He was awarded an ERC Consolidator grant (GlassUniversality) and is one of the Principal Investigators of the Simons collaboration on 'Cracking the glass problem'.\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 192\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.3 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 09, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337101885689,"sku":"9780198864745","price":123.12,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/s3XXtgcv3K9780198864745.webp?v=1769674977","url":"https:\/\/bookscloud.io\/products\/from-statistical-physics-to-data-driven-modelling-with-applications-to-quantitative-biology-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}