Instructional Video4:41
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Practical Example of Classification Attacks for MNIST Adversarial Challenge

Higher Ed
From the section: Security Test Using Adversarial Attack. In this section, you will test any AI system against the latest attacks with the help of simple tools. The aim of this video is to provide practical experience in attacking a...
Instructional Video2:57
Curated Video

Explain web security : The Course Overview

Higher Ed
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...
Instructional Video6:59
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 5

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video4:59
Curated Video

Discuss the importance of data : Plotting 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 Video17:58
Curated Video

Test a computer program or algorithm : Built-in Errors in Python

Higher Ed
From the section: Errors in Python. This section introduces you to errors in Python. This video explains the built-in errors in Python.
Instructional Video2:37
Curated Video

Call a function : List 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: List Methods
Instructional Video6:07
Curated Video

Implement logical operations in a computer program : Exploring Logical Operators – Part 1

Higher Ed
From the section: Introduction to Decision Statements and Control Flow. In this section, you will be introduced to Java's decision statements and control flow constructs. This will include getting to know the Java keywords of if if/else,...
Instructional Video6:47
Curated Video

Implement a computer program using a classic algorithm : Recursion mini-project 3 - Fibonacci series

Higher Ed
From the section: Algorithms - Sort, performance, complexity and big O notation. This section is about Algorithms – sort, performance, complexity and big O notation. Understand, break down and implement a recursive fibonacci function
Instructional Video5:39
Curated Video

Evaluate two sorting or two search algorithms : Bubble sort demonstration and complexity analysis

Higher Ed
From the section: Algorithms - Sort, performance, complexity and big O notation. This section is about Algorithms – sort, performance, complexity and big O notation. Visual presentation and complexity analysis of the bubble sort algorithm
Instructional Video7:16
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Two and Multi-layer Perceptron ANN

Higher Ed
From the section: Artificial Neural Networks. In this section, we’ll learn about ANN. Artificial Neural Networks: Two and Multi-layer Perceptron ANN
Instructional Video11:27
Curated Video

Compare different types of data structures : Treaps

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 cover an efficient...
Instructional Video7:33
Curated Video

Compare different types of data structures : Segment Trees with Lazy Updates

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. This video continues exploring the...
Instructional Video8:45
APMonitor

Python Import Online Data and Analyze

10th - Higher Ed
There are many online sources of data. Python is capable to access, parse, and display data from databases, data streams, or other sources. The Internet of Things (IoT) depends on devices and programs (such as Python) communicating with...
Instructional Video15:49
Programming Electronics Academy

analogRead in Ardiuno: Arduino Course 4.11

Higher Ed
Using analogRead() to read analog inputs with Arduino.
Instructional Video9:30
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Bayes Theorem and Naive Bayes

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: Bayes Theorem and Naive Bayes
Instructional Video6:08
Curated Video

Python for Network Forensics 3.5: Reading the Journal

Higher Ed
In this video, we will continue our experimentation with reading and parsing system logs. • Further interact with the Systemd journal • Use our Python skills to effectively parse information regarding system events • Narrow down events...
Instructional Video4:21
Curated Video

High Performance Scientific Computing with C 1.1: The Course Overview

Higher Ed
This video will give you an overview about the course.
Instructional Video7:05
Curated Video

Cloud Native Development on Azure with Java 2.1: Build a Spring Boot Java Application and Provide CRUD Functionality for a To-Do List

Higher Ed
This video will walk you through a few quick steps to create a simple To-Do application capable of tracking your upcoming tasks. You can add new tasks to the application, and when you are done with a particular task, you can mark it as...
Instructional Video6:46
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 11

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing With Real World Natural Images: Working with...
Instructional Video5:10
Curated Video

Create a machine learning model of a real-life process or object : Adding More Metrics to Gain a Better Understanding

Higher Ed
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Instructional Video2:00
Curated Video

Design test cases to verify a computer program : Writing a Printer Class for Testing

Higher Ed
From the section: Unit Testing with Python. In this section, you will learn about unit testing using Python. This video demonstrates how to write a printer class for testing in Python.
Instructional Video14:27
Curated Video

Evaluate two sorting or two search algorithms : Bisection/Binary search - Iterative implementation

Higher Ed
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Build the binary search function using iteratively
Instructional Video31:34
Curated Video

Describe computer programming : Loops

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: Loops
Instructional Video6:42
Packt

Create visual representations of data that models real-world phenomena or processes : Line Charts

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: Line Charts