From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python

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: Types of Routing Protocols...

In this video I discuss whether you should get further education beyond a bachelor's degree. There are many types of further schooling you can go into including a master's and phd, medical school, nursing school, pharmacy...

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...

From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research...

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...

Recommendation systems is a subclass of information filtering system that helps predict the "rating" or "preference" based on the rating provided by users of an item. We will also see collaborative filtering and content-based filtering...

From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python.



Simple...

From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research...

DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....

This video is an introduction to the world of computer programming. It explains what computer programmers do, the different coding languages they use, and the various career opportunities available in the field. It also provides...

An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...

For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...

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 demonstrate that all approaches...

Quantum coin flipping is the fairest way to flip a coin over the phone. How does it work?!

This video will explain us the general purpose of machine learning and also explain the workflow of predictive analytics. • Understand the workflow of predictive analytics in machine learning

From the section: Introducing Network Security. This section provides Information about Overview of Network security, Test scope of Networks. It also includes Installation Procedure of Virtual Machines. For example: Kali Linux...

Do you wonder how much programming you'll do in college as an engineer. This answer is very dependent on what major you pick, the university you go to, and various other factors. However there are some consistencies in each major that...

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: EIGRP - advanced distance...

From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. If the power supply fails, a system simply will not operate. There are simple tricks and tips to diagnose and...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will give you an overview of the variables and data types. • Create...

Janice Cuny is the Program Director for Computing Education at the National Science Foundation.



The CRA (Computing Research Association) board selected Janice E. Cuny to receive the 2007 A. Nico Habermann Award for her...