Hi, what do you want to do?
Curated Video
Import external packages or libraries : Introduction to Packages
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...
"Just download the package" said the other developer at your future Python...
Curated Video
Describe a neural network : More on Neural Networks- with neuralnet
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...
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
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
Computer Vision Basics: Part 3: Image Features and their importance for object detection
Curated Video
Create a machine learning model of a real-life process or object : Setting Up TensorFlow 2.0
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...
Curated Video
Describe an advanced data structure : Manacher’s Algorithm
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...
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)
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)
Computer Vision Basics: Part 1: Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
Curated Video
Describe network protocols : Scalability of Network Programs
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...
In this video, we will learn about scalability of network
programs.
• Learn about...
Packt
Troubleshoot a faulty computer network : RIP Troubleshooting Scenario 3: Can you find the issue?
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?
RIP Troubleshooting (ICND1): RIP Troubleshooting Scenario 3: Can you find the issue?
Packt
Create visual representations of data that models real-world phenomena or processes : Matplotlib library
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...
Data...
Curated Video
routing protocols : Auto summarization
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
Routing Introduction: Auto summarization
Curated Video
Describe computer programming : Bugs
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
Common Coding Concepts: Bugs
Curated Video
Evaluate visual representations of data that models real-world phenomena or processes : Advanced Features and Limitations
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,...
Here,...
Curated Video
Implement logical operations in a computer program : Exploring Logical Operators – Part 2
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...
Packt
Introduction to computer hardware and software : Thunder and Lightning
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...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Scaling – Pyramiding up/down
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
Computer Vision Basics: Part 3: Image Scaling – Pyramiding up/down
Curated Video
routing protocols : Link State Routing Protocols
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
Curated Video
Modify a data structure : Linked List and "Node" Constructor Functions
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
Linked Lists: Linked List and "Node" Constructor Functions
Curated Video
Describe cyber attacks that could affect a computer system or network : Network Attack Vectors
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...
In this video, we will consider the...
Curated Video
Describe network protocols : Review of Key Networking Concepts
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...
Packt
Describe the tree data structure : Basic Trees
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...
Packt
Explain the privacy issues raised by artificial intelligence systems : Confidentiality, Availability, and Integrity Attacks
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...
It’s important to...
Packt
Introduction to computer hardware and software : Sight and Sound
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...
Curated Video
Describe an advanced data structure : Binary Searching for an Optimal Subarray Length
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...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Convolutions - Sharpening and Blurring
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
Computer Vision Basics: Part 1: Convolutions - Sharpening and Blurring