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Create a computer vision system using decision tree algorithms to solve a real-world problem : What is computer vision and why is it important?
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: What is computer vision and why is it important?
Curated Video
Explain web security : Basic Terminologies
From the section: First Steps. In this section, the viewer will be introduced to the course with a look at the course in general, have a look at some of the operating systems used in this course, and begin to understand basic...
Curated Video
Introduction to Coding: The Language of Computers
Coding is the language that powers the technology around us. It's the set of instructions that computers follow to perform their functions. From smartphones and computers to cars and microwaves, code is what makes these devices work.
Packt
Use different data types : Data Types
From the section: Jumping In. This section will cover topics such as syntax, variables, data types, strings, and many more. Jumping In: Data Types
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Introduction to Various Defense Approaches to Adversarial Attacks
From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency. The aim of this video is to give an overview of different defense...
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Discuss the importance of data : Evaluating model performance in Python
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...
Curated Video
Describe the different types of malware that could affect a computer system or network : Rootkits
From the section: Exploring Malware Functionalities. In this section, you learn how the behavior of malware is different in various classes of malware, and such an insight helps you to understand the class of malware while you are...
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Describe a neural network : Multi-class Classification Using Neural Networks with caret
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
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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
Brainwaves Video Anthology
Jane Krauss - Computer Science for All A Few Reasons Why
Jane Krauss is a teacher, author and consultant who does curriculum and program development designed to increase participation of girls and other underrepresented groups in computer science. She will gladly tell you why computational...
Next Animation Studio
U.S. creates first ever coupled quantum dots
Coupled quantum dots — which act like artificial atoms that share an electron — could potentially form a robust qubit to revolutionize computing.
Curated Video
Predictive Analytics with TensorFlow 8.4: CNN-based Predictive Model for Sentiment Analysis
This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...
Curated Video
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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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...
Packt
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...
Curated Video
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...
Curated Video
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
Curated Video
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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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
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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...
Curated Video
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...
Curated Video
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...