Instructional Video8:06
Packt

Improve the accuracy of an artificial intelligence system : Exploring Hyper Parameters to Improve the Accuracy

Higher Ed
From the section: Building a Recommender System. In this section you will build a system that recommends restaurants based on similar user’s ratings, using collaborative filtering. You will also learn about exploring hyper parameters to...
Instructional Video3:15
Curated Video

Discuss the importance of data : The stopping criteria for controlling tree growth

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 Video4:02
Curated Video

Fix the errors in a computer program or algorithm : Exceptions

Higher Ed
From the section: Errors and Exceptions Handling. In this section, you will learn about Errors and Exception handling in detail. Errors and Exceptions Handling: Exceptions
Instructional Video8:44
Curated Video

Implement different search algorithms : BST - Deleting nodes with 1 child node

Higher Ed
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Delete scenario 2 - deleting nodes with 1 child node
Instructional Video5:18
Packt

Introduction to computer hardware and software : Mounting a Power Supply

Higher Ed
From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. Power supplies require careful mounting to ensure easy connections to the devices that need power. It’s also...
Instructional Video8:49
Curated Video

Describe a neural network : Identify Variable Importance in Neural Networks

Higher Ed
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,...
Instructional Video0:58
Curated Video

Describe the applications of artificial intelligence systems : Introduction

Higher Ed
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Instructional Video5:13
Brainwaves Video Anthology

Ralph Morelli - Computer Science The Challenge

Higher Ed
Professor Morelli graduated from the University of Connecticut in 1969 with a B. A. in Mathematics. He has an M.A. and Ph.D. in Philosophy, as well as an M. S. in Computer Science from the University of Hawaii. He has been teaching at...
Instructional Video4:30
Curated Video

Ensemble Machine Learning Techniques 2.3: Ensemble Learning for Classification

Higher Ed
In this video, we will use python to write a simple ensemble learning model for classification. • We will use Jupyter Notebook to execute our code • Use Iris dataset to perform classification • Use hard voting and soft voting for...
Instructional Video2:27
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Confidentiality, Availability, and Integrity Attacks

Higher Ed
From the section: Build a Threat Model and Learn Different Attacks on AI. In this section, you will create a high-level threat model for AI solution to choose the right priorities against various threats. It’s important to know the main...
Instructional Video3:32
Packt

Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Comparing Defence Approaches and Choosing the Best Defence

Higher Ed
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 provide guidance on choosing the best...
Instructional Video2:10
Packt

Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Testing Practical Defence from Modified Input Category

Higher Ed
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 show a practical example of defense...
Instructional Video13:35
Curated Video

Evaluate visual representations of data that models real-world phenomena or processes : Visualizing Word Embedding Using TensorBoard Projector

Higher Ed
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. Let’s demonstrate...
Instructional Video32:00
Curated Video

Describe computer programming : Control Flow

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: Control Flow
Instructional Video6:03
Curated Video

Describe computer programming : Working with Strings

Higher Ed
From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will introduce you to single-quote and multiple-quote strings. •...
Instructional Video12:47
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Histogram of Oriented Gradients (HOG)

Higher Ed
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision. Computer Vision Basics: Part 3: Histogram of Oriented Gradients (HOG)
Instructional Video7:36
Curated Video

Compare different types of data structures : Binary Indexed Trees

Higher Ed
From the section: Tree-Based Data Structures. In this section, we will go over a few robust tree-based data structures, that are indispensable for efficiently solving various query-related problems. In this video, we introduce another...
Instructional Video6:38
Curated Video

Evaluate visual representations of data that models real-world phenomena or processes : Hands-On Example: NLP

Higher Ed
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. Here, we shall predict...
Instructional Video3:39
Packt

Compare the breadth-first and depth-first search algorithms : Using Breadth-First Search (BFS)

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. Learn the...
Instructional Video7:56
Packt

Introduction to computer hardware and software : Using Expansion Cards

Higher Ed
From the section: Essential Peripherals. In this section, we learn more about optical media, USB standard, configure USB’s for keyboard and mIce. One of the most powerful features of a PC is the ability to install expansion cards that...
Instructional Video10:50
Curated Video

Describe network protocols : Review of Network Programming

Higher Ed
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, will learn about the basics of Network programming in general. •...
Instructional Video4:19
Curated Video

Describe a neural network : Evaluate Accuracy

Higher Ed
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,...
Instructional Video12:45
Packt

Develop an AI system to solve a real-world problem : Classification versus Regression

Higher Ed
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
Instructional Video9:19
Zach Star

Computer Science Vs Computer Engineering - How to Pick the Right Major

12th - Higher Ed
In this video I discuss computer science vs computer engineering. Computer science and computer engineering have many similarities but also some big differences. Computer science majors learn more about software while computer engineers...