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Everything Free. BOOKS, MATLAB PROGRAMS, CODES and Study Materials. Also Questions and Answers. For older/archived post visit
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Introduction to Fuzzy Logic using MATLAB ( PDF Books)
Radar Signal Analysis and Processing Using MATLAB (Free PDF)
High Performance Control of AC Drives with Matlab / Simulink Models by Haitham Abu-Rub, Atif Iqbal, Jaroslaw Guzinski (Free PDF)
Getting Started with ml.pdf
1.1 MB
1. Computer Vision for Engineering and Science Specialization

2. Image Segmentation, Filtering, and Region Analysis

3. Numerical Methods for Engineers

4. Fundamentals of Digital Image and Video Processing
Radar and Ew Modeling in MATLAB and Simulink (Artech House Radar Library)
by Carlos Dvila (Author), Glenn D. Hopkins (Author), Gregory A. Showman (Author)
6.9 MB
Free Courses on Battery!

1. Battery Technologies Specialization

2. Introduction to battery-management systems

3. Algorithms for Battery Management Systems Specialization

4. Batteries and Electric Vehicles

5. Lithium Based Batteries

6. Battery Pack Balancing and Power Estimation

7. Battery State-of-Charge (SOC) Estimation

8. Battery State-of-Health (SOH) Estimation

9. Primary and Secondary Batteries

10. Battery Comparison, Manufacturing, and Packaging

11. Equivalent Circuit Cell Model Simulation
571.1 KB
Simulation of Li-ion Battery using MATLABSimulink for Charging and Discharging
Capabilities for Designing Feedback Control Systems

Explore what is possible with MATLAB and Simulink

Free Courses :
Single-Phase Asynchronous Machine Field-Oriented Control
Design of Embedded Robust Control Systems Using MATLAB® / Simulink® (Control, Robotics and Sensors) PDF
Free Courses Introduction to Statistics
Forwarded from New Technology (Technical Expert)
Understanding Deep Learning (PDF Book)

Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.

Hard Copy: