Instructional Video13:42
Curated Video

Predictive Analytics with TensorFlow 8.6: CNN Predictive Model for Image Classification

Higher Ed
This video will develop a CNN predictive model for image classification. • Create the CNN model • Evaluate the model • Make the predictive
Instructional Video14:11
Coach Dan Blewett

A Parent's Guide to Youth Pitching Mechanics

K - 5th
Learn the key checkpoints in youth pitching mechanics - things for coaches and players to focus on without getting bogged down in granular details. Enjoy the tutorial?
Instructional Video7:17
Curated Video

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

Higher Ed
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 Save Life:...
Instructional Video7:42
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 14

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 Video11:44
Seven Dimensions

Digging Deeper: The Importance of Detail and Getting It Right

Higher Ed
In this video, Colin McLaren, a former detective and crime solver, shares his passion for digging for details and getting things right. He emphasizes the importance of thorough research and going beyond surface-level information to...
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 Video7:11
Curated Video

Julia for Data Science (Video 26)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
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 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 Video3:57
Curated Video

Describe a neural network : Neural Network with PCA for Binary Classifications

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 Classifications,...
Instructional Video4:05
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Practical Privacy 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. The aim of this video is to...
Instructional Video7:00
Curated Video

Julia for Data Science (Video 23)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Instructional Video2:48
Curated Video

Evaluate the accuracy of an artificial intelligence system : Evaluate Accuracy of the DNN Model

Higher Ed
From the section: ANN & DNN With MXNet Package in R. This section is about ANN & DNN with MXNet Package in R. ANN & DNN With MXNet Package in R: Evaluate Accuracy of the DNN Model
Instructional Video2:34
The Business Professor

Fair Credit Reporting Act - Reporting Agencies

Higher Ed
Fair Credit Reporting Act - Reporting Agencies
Instructional Video4:29
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with X-Ray images: Case Study - Part 4

Higher Ed
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 Save Life:...
Instructional Video6:22
Curated Video

Machine Learning Algorithms

Higher Ed
In this video, we will cover machine learning algorithms. This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video Course + Ques".In this...
Instructional Video3:39
Curated Video

Predictive Analytics with TensorFlow 9.2: Implementing an RNN for Spam Prediction

Higher Ed
We will see how to implement an RNN in TensorFlow to predict spam/ham from texts. • Construct RNN network • Perform the training • Plot accuracy over time
Instructional Video4:24
Packt

Explain the negative impacts of artificial intelligence systems on society : BIM Attack Practical Configuration

Higher Ed
From the section: Compare Various Attacks. In this section, you will learn the most important metrics to compare various attacks. Now, you will dive deeper into various adversarial attacks from the white-box category. You will see how...
Instructional Video9:14
Packt

Develop an AI system to solve a real-world problem : Boosting and Ensembles

Higher Ed
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
Instructional Video5:49
Curated Video

GCSE Secondary English Age 13-17 - Writing: Proofreading Skills - Explained

9th - 12th
SchoolOnline's Secondary English videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key skill in English Reading and Writing that students need to master in clear and easy to...
Instructional Video0:58
Next Animation Studio

Chinese global navigation system Beidou nears completion

12th - Higher Ed
China announced on December 27 that it is only a few months away from completing its own satellite-based position system called Beidou.
Instructional Video3:44
History Hit

Total War, The Three Kingdoms of China: Historical accuracy

12th - Higher Ed
How important is historical accuracy when making a video game like this? Do the developers feel rewarded by the gamers when a game like this is historically accurate? Total War, The Three Kingdoms of China, Part 2
Instructional Video10:46
Curated Video

Evaluate the accuracy of an artificial intelligence system : Implement a DNN Based Multi-Class Classification with MXNet

Higher Ed
From the section: ANN & DNN With MXNet Package in R. This section is about ANN & DNN with MXNet Package in R. ANN & DNN With MXNet Package in R: Implement a DNN Based Multi-Class Classification with MXNet
Instructional Video0:40
The March of Time

1951: KOREAN WAR: P.O.W. LIST: MS Newspaper headlines, 'Reds Bow to UN...' VS United Nations officers in room checking prisoner of war lists, checking names on lists. POW

12th - Higher Ed
MOT 1951: KOREAN WAR: P.O.W. LIST: MS Newspaper headlines, 'Reds Bow to UN...' VS United Nations officers in room checking prisoner of war lists, checking names on lists. POW