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Peter Ponders PID - Introduction

Peter Nachtwey
3 min
Beginner
Video
Theory

The purpose of this video is to inform the viewer about what to expect. My videos go much deeper than the typical videos. They are geared for graduate st...

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Machine Learning Control: Overview

Steve Brunton
10 min
Beginner
Video
Theory

This lecture provides an overview of how to use machine learning optimization directly to design control laws, without the need for a model of the dynamics.

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How are Beamforming and Precoding Related?

Iain Explains Signals, Systems, and Digital Comms
12 min
Beginner
Video
Theory

Explains the relationship between Beamforming and Precoding in multi-antenna communication systems. Also discusses the relationship to Diversity.

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DSP Lecture 1: Signals

Rich Radke
66 min
Beginner
Video
Theory

This is a video lecture for ECSE-4530 Digital Signal Processing by Rich Radke, Rensselaer Polytechnic Institute.

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Intro to Data Science: What is Data Science?

Steve Brunton
8 min
Beginner
Video
Theory

This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...

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What Is a Con­trol Sys­tem and Why Should I Care? (Part 2)

Dr. Daniel Y. Abramovitch, Agilent Technologies, American Automatic Control Council Education Committe Chair
34 min
Beginner
Video
Demonstration

This second video introduces some of the methods that engineers use to build control systems.  It shows how we use science to help us derive models of systems from both measurements and...

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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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