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Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perform Image cropping dilation and erosion
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: [Activity] Code to perform Image cropping dilation and erosion
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High Performance Scientific Computing with C 1.3: Interpolation and Extrapolation
How can we "fill in" the data points between discrete data? How can we extend beyond our data points? • Learn linear interpolation • Learn polynomial interpolation • See the dangers of extrapolation
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Predictive Analytics with TensorFlow 5.2: Using kNN for Predictive Analytics
kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...
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Describe network protocols : Network Layers
From the section: Networking and Programming with IP and UDP In this section, we will learn about all about networking and using programming with IP and UDP. In this video, we will have a look at Network Layers and learn something about...
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Design a computer system using tree search and reinforcement learning algorithms : Coding up Your First Solution to CartPole-v0
From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards. To...
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Design a computer system using tree search and reinforcement learning algorithms : Understanding the Environment of CartPole in OpenAI Gym
From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards. To...
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Transformations – Perspective transform
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
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Course Overview and Learning Outcomes
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
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Discuss the importance of data : Understanding a Regression Tree
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...
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Implement different search algorithms : In-order traversal of a Binary Search Tree
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...
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Describe a function : Functions
From the section: Advanced Python. This section is about Advanced Python. Advanced Python: Functions
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Describe computer programming : How Code Runs
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...
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Evaluate the accuracy of an artificial intelligence system : Assessing the Accuracy of a Classification Model
From the section: Logistic Regression. Learn about Logistic Regression here. Logistic Regression: Assessing the Accuracy of a Classification Model
APMonitor
Solve Differential Equations in MATLAB and Simulink
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.
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Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of the Epsilon-Greedy Policy
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...
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction
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
Programming Electronics Academy
Diving into a new Code Library: Arduino Course 6.5
A description of how to explore a code library.
Programming Electronics Academy
Map Function: Arduino Course 5.7
A demonstration of the map() function in Arduino.
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Learning D3.JS 5.0 1.2: What Is Data Visualization?
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...
Packt
Compare the breadth-first and depth-first search algorithms : Implementing BFS on Regular Graphs
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...
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Design a computer system using tree search and reinforcement learning algorithms : Running a Visualization of the Cart Robot CartPole-v0 in OpenAI Gym
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...
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Intro to Deep Learning and Tensorflow
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
Packt
Use different data types : Python Fundamentals
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,...
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Discuss the importance of data : Basics of decision trees
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...