02959cam a2200301 i 4500991004034169707536211207t2019 nyua b 001 0 eng d9781484239155b14427096-39ule_instBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazioneeng006.3123Paluszek, Michael887778MATLAB machine learning recipes :a problem-solution approach /Michael Paluszek and Stephanie Thomas2nd ed.New York :Apress,c2019xix, 347 p. :ill. ;26 cmIncludes bibliographical references and indexIntroduction -- An overview of machine learning -- Representation of data for machine learning in MATLAB -- MATLAB graphics -- Kalman filters -- Adaptive control -- Fuzzy logic -- Data classification with decision trees -- Introduction to neural nets -- Classification of numbers using neural networks -- Pattern recognition with deep learning -- Neural aircraft control -- Multiple hypothesis testing -- Autonomous driving with multiple hypothesis testing -- Case-based expert systems -- A brief history of autonomous learning -- Software for machine learningHarness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. You will: Learn to write code for machine learning, adaptive control and estimation using MATLAB See how these three areas complement each other Understand why these three areas are needed for robust machine learning applications Use MATLAB graphics and visualization tools for machine learning Code real world examples in MATLAB for major applications of machine learning in big dataMachine learningThomas, Stephanieauthorhttp://id.loc.gov/vocabulary/relators/aut1065669.b1442709610-12-2107-12-21991004034169707536LE026 006.31 D PAL 01.01 C.1 2019C.112026000134628le026Prof. Lay-Ekuakille / BibliotecapE26.74-n- 10000.i1598923909-12-21LE026 006.31 D PAL 01.01 C.2 2019C.212026000134635le026Prof. Lay-Ekuakille / BibliotecapE26.74-l- 00000.i1598974410-12-21MATLAB machine learning recipes2547442UNISALENTOle02607-12-21ma engnyu00