Instructional Video2:39
Curated Video

Import external packages or libraries : Introduction to Packages

Higher Ed
From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python



"Just download the package" said the other developer at your future Python...
Instructional Video9:48
Curated Video

Describe a neural network : More on Neural Networks- with neuralnet

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...
Instructional Video5:26
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Features and their importance for object detection

Higher Ed
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 3: Image Features and their importance for object detection
Instructional Video3:17
Curated Video

Create a machine learning model of a real-life process or object : Setting Up TensorFlow 2.0

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...
Instructional Video9:48
Curated Video

Describe an advanced data structure : Manacher’s Algorithm

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...
Instructional Video10:12
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)

Higher Ed
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 1: Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
Instructional Video9:50
Curated Video

Describe network protocols : Scalability of Network Programs

Higher Ed
From the section: Programming TCP Clients and Servers In this section, we will learn about how to build TCP Servers and how it works.



In this video, we will learn about scalability of network
programs.
• Learn about...
Instructional Video10:27
Packt

Troubleshoot a faulty computer network : RIP Troubleshooting Scenario 3: Can you find the issue?

Higher Ed
From the section: RIP Troubleshooting (ICND1). In this section, we learn to troubleshoot RIP in different scenario.<b<br/>r/>

RIP Troubleshooting (ICND1): RIP Troubleshooting Scenario 3: Can you find the issue?
Instructional Video8:04
Packt

Create visual representations of data that models real-world phenomena or processes : Matplotlib library

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...
Instructional Video2:58
Curated Video

routing protocols : Auto summarization

Higher Ed
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols.<b<br/>r/>

Routing Introduction: Auto summarization
Instructional Video15:53
Curated Video

Describe computer programming : Bugs

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.<b<br/>r/>

Common Coding Concepts: Bugs
Instructional Video15:48
Curated Video

Evaluate visual representations of data that models real-world phenomena or processes : Advanced Features and Limitations

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,...
Instructional Video4:12
Curated Video

Implement logical operations in a computer program : Exploring Logical Operators – Part 2

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...
Instructional Video5:41
Packt

Introduction to computer hardware and software : Thunder and Lightning

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. Thunderbolt and Lightning connectors are high-speed alternatives to USB. A good tech...
Instructional Video3:08
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Scaling – Pyramiding up/down

Higher Ed
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 3: Image Scaling – Pyramiding up/down
Instructional Video3:33
Curated Video

routing protocols : Link State Routing Protocols

Higher Ed
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Link State Routing Protocols
Instructional Video6:35
Curated Video

Modify a data structure : Linked List and "Node" Constructor Functions

Higher Ed
From the section: Linked Lists. This section introduces Linked Lists and "Node" constructor functions along with Big O Notation and calculating the runtime of a function<b<br/>r/>

Linked Lists: Linked List and "Node" Constructor Functions
Instructional Video2:59
Curated Video

Describe cyber attacks that could affect a computer system or network : Network Attack Vectors

Higher Ed
From the section: Attacking a Network. In this section, we will discover the diversity of ways a network can be attacked and demonstrate the attacks with various Kali Linux tools.



In this video, we will consider the...
Instructional Video6:00
Curated Video

Describe network protocols : Review of Key Networking Concepts

Higher Ed
From the section: Getting Ready for Python Network Programming. In the first section, we will go over the course overview, setup our hands-on lab, and review of key concepts. The course overview will give you a general idea of the...
Instructional Video6:48
Packt

Describe the tree data structure : Basic Trees

Higher Ed
From the section: Variants of Trees. This section describes a few tree-related topics. It presents the basic tree, together with its implementation in C#, and examples showing this in action. The section also introduces you to...
Instructional Video2:27
Packt

Explain the privacy issues raised by artificial intelligence systems : 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...
Instructional Video6:35
Packt

Introduction to computer hardware and software : Sight and Sound

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. Sound devices and cameras are second only to keyboards and mice in terms of importance as...
Instructional Video4:48
Curated Video

Describe an advanced data structure : Binary Searching for an Optimal Subarray Length

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...
Instructional Video7:34
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Convolutions - Sharpening and Blurring

Higher Ed
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 1: Convolutions - Sharpening and Blurring