Introduction to intelligent systems, control, and machine learning using MATLAB / Schoen, Marco--
Material type:
- TJ 217.5 .Sch365 2024
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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DLSU-D HS Learning Resource Center Circulation | Circulation | TJ 217.5 .Sch365 2024 (Browse shelf(Opens below)) | 001524 | Available | 3HS00000001524 |
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TJ 211.2 .Sp45a 2016 Robots in industry | TJ 211.2 .Sp45b 2016 Robots in medicine | TJ 211.9146 .T677 2023 Elements of robotics / | TJ 217.5 .Sch365 2024 Introduction to intelligent systems, control, and machine learning using MATLAB / | TJ 223.P76 .N645 2015 Getting to know Arduino | TJ 823 .W82 1997 The wind at work : | TJ 1195 .M161 2016 A construction worker's tools |
Includes index.
Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.
In English.
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