Instructional Video4:54
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Transformations – Perspective transform

Higher Ed
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: Image Transformations – Perspective transform
Instructional Video3:10
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Course Overview and Learning Outcomes

Higher Ed
From the section: Introduction to Self-Driving Cars. In this section, we’ll cover a brief history and an overall outcome that you can expect by the end of this course. Introduction to Self-Driving Cars: Course Overview and Learning Outcomes
Instructional Video3:22
Curated Video

Evaluate the accuracy of an artificial intelligence system : Assessing the Accuracy of a Classification Model

Higher Ed
From the section: Logistic Regression. Learn about Logistic Regression here. Logistic Regression: Assessing the Accuracy of a Classification Model
Instructional Video10:18
Curated Video

Discuss the importance of data : Understanding a Regression Tree

Higher Ed
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Instructional Video6:47
Curated Video

Implement different search algorithms : In-order traversal of a Binary Search Tree

Higher Ed
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. In-depth look at in-order traversal and how it results in a sorted representation...
Instructional Video4:55
Curated Video

Describe a function : Functions

Higher Ed
From the section: Advanced Python. This section is about Advanced Python. Advanced Python: Functions
Instructional Video16:11
Curated Video

Describe computer programming : How Code Runs

Higher Ed
From the section: Common Coding Concepts.This section will cover common coding concepts such as Scratch setup, bugs, pseudocode, decomposition, commenting and many more. Common Coding Concepts: How Code Runs • Learn to send basic...
Instructional Video21:06
APMonitor

Solve Differential Equations in MATLAB and Simulink

10th - Higher Ed
This introduction to MATLAB and Simulink ODE solvers demonstrates how to set up and solve either one or multiple differential equations. The equations can be linear or nonlinear.
Instructional Video4:59
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of the Epsilon-Greedy Policy

Higher Ed
From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...
Instructional Video3:27
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction

Higher Ed
From the section: Environment Setup and Installation. This section will help you to install the required software and set up the development environment for this course. Environment Setup and Installation: Introduction
Instructional Video10:59
Programming Electronics Academy

Diving into a new Code Library: Arduino Course 6.5

Higher Ed
A description of how to explore a code library.
Instructional Video15:12
Programming Electronics Academy

Map Function: Arduino Course 5.7

Higher Ed
A demonstration of the map() function in Arduino.
Instructional Video4:39
Curated Video

Learning D3.JS 5.0 1.2: What Is Data Visualization?

Higher Ed
In this video, we will learn what data visualization is, visual perception, and also what makes a good visualization. • Understand the definition of data visualization • Discuss visual perception • Learn the steps to make a great...
Instructional Video2:42
Packt

Use different data types : Python Fundamentals

Higher Ed
From the section: NumPy Fundamentals in Python. Every programming language is different. You will cover fundamentals in order to get familiar with the Python environment needed for NumPy. You will learn to work with numbers, lists,...
Instructional Video7:50
Packt

Compare the breadth-first and depth-first search algorithms : Implementing BFS on Regular Graphs

Higher Ed
From the section: Searching in Graphs. In this section, we will see what we are searching for. Also, we will look at how to use and implement Breadth-First Search and Depth-First Search along with a simple puzzle game example. Implement...
Instructional Video7:29
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Running a Visualization of the Cart Robot CartPole-v0 in OpenAI Gym

Higher Ed
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Instructional Video9:30
Packt

Create a computer vision system using decision tree algorithms to solve a real-world problem : Intro to Deep Learning and Tensorflow

Higher Ed
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Intro to Deep Learning and Tensorflow
Instructional Video10:10
Curated Video

Discuss the importance of data : Basics of decision trees

Higher Ed
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Instructional Video10:11
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Creating an Agent to Solve the MAB Problem Using Python and Tensorflow

Higher Ed
From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB environment from...
Instructional Video11:36
Curated Video

Describe computer programming : Common Data Types

Higher Ed
From the section: Common Coding Concepts.This section will cover common coding concepts such as Scratch setup, bugs, pseudocode, decomposition, commenting and many more. Common Coding Concepts: Common Data Types
Instructional Video25:36
Curated Video

Describe computer programming : You Can Code! Part 2

Higher Ed
From the section: You can code!. This section will help you discover some interesting facts about coding. You can code!: You Can Code! Part 2 • Get the synopsis about the Tuple • Learn about the benefits of Tuple • Learn about the...
Instructional Video7:10
Curated Video

Describe computer programming : You Can Code! Part 1

Higher Ed
From the section: You can code!. This section will help you discover some interesting facts about coding. You can code!: You Can Code! Part 1 • Create a simple list with names and another with numbers • Explain the concept of indexing •...
Instructional Video12:20
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction: What are Artificial Neural Networks and how do they learn?

Higher Ed
From the section: Artificial Neural Networks. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Artificial Neural Networks: Introduction: What are Artificial Neural Networks and how do they learn?
Instructional Video8:09
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Support Vector Classifiers in Action

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Support Vector Classifiers in Action