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: Routed protocols and...

From the section: CNN-Industry Live Project: Find Medical Abnormalities and Save Life. This section includes a CNN-Industry live project on working with X-Ray images.



CNN-Industry Live Project: Find Medical Abnormalities and...

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:...

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



Modules. Files. Modules. Files. Modules... you get the point. A module is...

From the section: Doing a Lot with Very Little. In this section, we will explore some problems that look difficult to solve efficiently at first sight. You might think that they require some advanced logic or data structures, but in...

From the section: JavaScript Basics: Variables and Flow Control. In this section, we’ll learn about the basics of JavaScript.



In this video, you’ll learn how to use if statements. These will let you conditionally run...

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 discover how to set...

From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data.<b<br/>r/>

Machine Learning: Part 2: Project Solution: Detecting Cars Using SVM - Part #1

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: [Activity] Code to perform Image pyramiding

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: [Activity] Detect lane lines in gray scale image

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...

From the section: Shortest Time Search (Depth First Search). Understand stack data structure by answering the questions.

• What is a
stack
• What are example
s of stack
• How do stack operations—Insertion...

From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc.



An in-depth look at trees, rules surrounding them and a tree known as...

From the section: Essentials of Networking. In this section, we learn about WANS, Routers, cables and connectors.



Hexadecimal numbering uses a base-16 system that’s very convenient for IT techs. It’s important to look at a...

From the section: The Internet. Here, we explore our internet options. In this episode, Mike explores common always-on broadband connections to the Internet. Starting with DSL, the episode looks also at fiber, cable, satellite, and 80...

From the section: CNN-Industry Live Project: Find Medical Abnormalities and Save Life. This section includes a CNN-Industry live project on working with X-Ray images.



CNN-Industry Live Project: Find Medical Abnormalities and...

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:...

From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models...

From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models...

From the section: Python Crash Course. In this section, the author covers Python and provides a crash course on this.<b<br/>r/>

Python Crash Course: For Loops

From the section: Motherboards. In this section, we look into motherboard features such as Chipsets and how to install. Installing a motherboard into a case is part science and part art. The science comes first. The motherboard must...

From the section: Exploring Malware Functionalities. In this section, you learn how the behavior of malware is different in various classes of malware, and such an insight helps you to understand the class of malware while you are...

From the section: Artificial Neural Networks. In this section, we’ll learn about ANN.<b<br/>r/>

Artificial Neural Networks: Code to build a perceptron for binary classification

From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 2: [Activity] Code to define the region of interest