MATLAB machine learning recipes : a problem-solution approach / Michael Paluszek and Stephanie Thomas
نوع المادة : نصاللغة: الإنجليزية الناشر:New York : Apress, 2019تاريخ حقوق النشر: ©2019الطبعات:Second editionوصف:xix, 347 pages: illustrations; 31 cmنوع المحتوى:- text
- unmediated
- volume
- 9781484239155
- 1484239164
- 9781484239162
- Q325.5 .P358 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .P358 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000209305 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .P358 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30020000209304 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
Q325.5 .N577 2018 The NIPS '17 competition: building intelligent systems / | Q325.5 .N577 2018 The NIPS '17 competition: building intelligent systems / | Q325.5 .P358 2019 MATLAB machine learning recipes : a problem-solution approach / | Q325.5 .P358 2019 MATLAB machine learning recipes : a problem-solution approach / | Q325.5 .P54 2012 The voice in the machine : building computers that understand speech / | Q325.5 .P54 2012 The voice in the machine : building computers that understand speech / | Q325.5 .P867 2019 Deep learning and the game of Go / |
Includes bibliographical references and index
Introduction -- 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 learning
Harness 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 data