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System Identification: Theory for the User

Lennart Ljung, Linkoping University, Sweden
Beginner
Book
Theory

From the Back Cover

The field's leading text, now completely updated. 

Modeling dynamical systems ― theory, methodology, and applications. 

Lennart Ljung's System Identification: Theory...

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Linear Algebra Review

J. Zico Kolter
Intermediate
Course
Theory

This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The...

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Algorithms for Automated Driving

Mario Theers
Intermediate
Project
Application

Each chapter of this (mini-)book guides you in programming one important software component for automated driving. Currently, this book contains two chapters: Lane Detection, and Control...

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Learning From Data

Professor Yaser Abu-Mostafa
Beginner
Course
Theory

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical...

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RADAR Engineering

Engineering Funda
200 min
Intermediate
Course
Theory

Radar technology is used widely today. The principles involved are very fundamental and every engineering student studies them at least once. This playlist covers Radar Engineering for an EE...

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Process Dynamics and Control Course

Dr. John Hedengren
Beginner
Course
Theory

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

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Full Stack Deep Learning

Sergey Karayev, Josh Tobin, Pieter Abbeel
Intermediate
Course
Theory

There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...

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No! Not Laplace Transforms

R. Russell Rhinehart
60 min
Intermediate
Course
Theory

In my 13-year industrial career, I never used Laplace transforms.  However, transfer functions and block diagram notation are efficient methods to describe dynamic behaviors, and are often...

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edX course: Dynamics and Control

Pedro Albertos
Beginner
Course
Theory

This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control...

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Reinforcement Learning: An Introduction

Richard S. Sutton and Andrew G. Barto
Beginner
Book
Theory

From the book introduction:

The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays...

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Reinforcement Learning with MATLAB.

Mohammad Dehghani, Rifat Sipahi, Sahil S. Belsare
Beginner
Course
Application

This repository contains series of modules to get started with Reinforcement Learning with MATLAB.

It is divided into 4 stages.

In Stage 1, we start with learning RL concepts by manually...

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Yann LeCun’s Deep Learning Course at CDS

Yann LeCun, Alfredo Canziani
Intermediate
Course
Theory

This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...

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Interactive Course for Control Theory

Erasmus+
Beginner
Course
Theory

Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...

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