Instructional Video5:05
Packt

Advanced Computer Vision Projects 1.2: Image Captioning Introduction

Higher Ed
We cover image classification vs. captioning and touch on recurrent neural networks with long-short-term-memory. • Understand that captioning is an extension of classification to generate more human friendly image labelling • Learn about...
Instructional Video4:36
Packt

Compare the breadth-first and depth-first search algorithms : Using Depth-First Search (DFS)

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 Video11:24
Curated Video

Describe an advanced data structure : Rolling Hashes for Constructing a Palindrome

Higher Ed
From the section: More Complex Algorithms on Arrays. In this section, we will deal with even more complex problems involving arrays. They will require more complex logic or data structures to solve, or a clever way of applying more than...
Instructional Video20:35
Let's Tute

Microsoft Excel: Logical Statements and Nested IF Functions

9th - Higher Ed
This video is a tutorial on using logical statements and nested if functions in Microsoft Excel, demonstrated through VBA coding. The teacher explains the importance of understanding logical statements and provides examples of how to use...
Instructional Video3:47
Curated Video

Discuss the importance of data : Creating Decision tree in Python

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 Video4:58
Curated Video

Discuss the importance of data : Dummy Variable creation in Python

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 Video3:43
Curated Video

Describe a function : Functions Part 2

Higher Ed
From the section: Advanced Python. This section is about Advanced Python. Advanced Python: Functions Part 2
Instructional Video7:52
Packt

Create visual representations of data that models real-world phenomena or processes : A1. Activity for Data Visualization

Higher Ed
From the section: Data Visualization. In this section you will learn about data visualization, matplotlib library, bar charts, line charts and scatter plots. There’s also an activity for data visualization. Data Visualization: A1....
Instructional Video10:37
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Humans vs. Computers Vision system

Higher Ed
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: Humans vs. Computers Vision system
Instructional Video4:34
Curated Video

Predictive Analytics with TensorFlow 3.2: TensorFlow Computational Graph

Higher Ed
When thinking of execution of a TensorFlow program we should be familiar with a graph creation and a session execution. Basically the first one is for building the model and the second one is for feeding the data in and getting the...
Instructional Video6:15
PBS

Why Are There So Few Women in Computer Science?

12th - Higher Ed
Today, we think of computer science as a field dominated by men, but the women have a long and important history in the field. In fact women were many of the very first computer programmers, played a hugely important part in the...
Instructional Video9:49
Curated Video

Predictive Analytics with TensorFlow 8.5: CNN Model for Emotion Recognition

Higher Ed
We will first train the CNN model based on the dataset from Kaggle and then we will test that model to test a human face to predict one of the emotions. In this video, we show how to develop a CNN for emotion prediction from facial...
Instructional Video4:47
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Adversarial Attacks and Their Distinctive Features

Higher Ed
From the section: Testing Image Classification. In this section, you will design specific security tests for image recognition systems. Here you will focus on one particular type of AI solution – image classification, and one category of...
Instructional Video5:02
Curated Video

Call a function : String Methods

Higher Ed
From the section: Data Operations. In this section, you will learn about the different types of operators used in Python. This section will teach you the building blocks for any kind of operations in Python. Data Operations: String Methods
Instructional Video6:12
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Perform non-affine image transformation on a traffic sign image

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: [Activity] Perform non-affine image transformation on a traffic sign image
Instructional Video6:38
Programming Electronics Academy

If Statements in Programming: Arduino Course 5.1

Higher Ed
A demonstration of how "if statements" are used in programming.
Instructional Video6:22
Curated Video

Predictive Analytics with TensorFlow 10.2: Factorization Machines for Recommendation Systems

Higher Ed
We will look at two examples for developing a more robust recommendation systems using FM. We will also see FM and their applications in the cold-start recommendation problem. • Understand the factorization machines • Look at the cold...
Instructional Video3:56
Curated Video

Predictive Analytics with TensorFlow 8.3: Tuning CNN Hyperparameters

Higher Ed
In this video, we will tune the CNN hyperparameters. • Tune the CNN hyperparameters
Instructional Video5:34
Curated Video

Predictive Analytics with TensorFlow 8.1: CNNs and the Drawbacks of Regular DNNs

Higher Ed
CNNs are a type of feedforward neural network in which the connectivity pattern between its neurons is based on the animal visual cortex. We will also see CNN architecture and convolution operations. • Look at CNNs and drawbacks of...
Instructional Video1:32
Packt

Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : The Current State of Defenses

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 how each of the defense...
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 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,...