Instructional Video3:13
The Business Professor

Types of Bankruptcy

Higher Ed
Types of Bankruptcy
Instructional Video12:56
Curated Video

Classification Versus Regression Versus Clustering Machine Learning Types

Higher Ed
In this video, we will cover classification versus regression versus clustering machine learning types. This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure...
Instructional Video3:50
Curated Video

Predictive Analytics with TensorFlow 7.4: Deep Belief Networks

Higher Ed
While weights of an MLP are initialized randomly, a DBN uses a greedy layer-by-layer pretraining algorithm to initialize the network weights through probabilistic generative models composed of a visible layer and multiple layers of...
Instructional Video6:59
Curated Video

Predictive Analytics with TensorFlow 7.2: Fine-tuning DNN Hyperparameters

Higher Ed
First, we will see DNN performance analysis. Next, we will tune the DNN hyperparameters. • Do DNN performance analysis • Tune the DNN hyperparameters
Instructional Video8:59
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Naive Bayes in Action

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Naive Bayes in Action
Instructional Video5:02
Fun Robotics

Teachable Machine

Higher Ed
Explore different types of Machine Learning and experiment with Teachable Machine
Instructional Video30:07
APMonitor

Detect Steel Plate Defects with ML

10th - Higher Ed
Steel plate defects are extracted from photos of several faulty steel plates with surface imperfections. Image analysis revealed 27 different features to describe the steel fault. A total of 6 unique types of faults are categorized, with...
Instructional Video10:55
Mythology & Fiction Explained

Who Are The Seven Princes of Hell? - (Demonology Explained)

12th - Higher Ed
Mythology & Fiction Explained explores the seven demon princes of hell using the classification of demons by Peter Binsfeld whch is based on the seven deadly sins
Instructional Video6:11
Professor Dave Explains

Mechanisms of Natural Selection Altruism and Kin Selection

12th - Higher Ed
We have learned all about so-called "survival of the fittest" which is a phrase we associate with natural selection. We typically associate this concept with competition for resources, but there are situations in which this involves the...
Instructional Video2:51
Fun Robotics

One-vs-Rest (OvR) Heuristic Method

Higher Ed
Describes the working principle of a One-vs-Rest (OvR) heuristic method.
Instructional Video2:32
The Business Professor

Classification of Issuers of Securities

Higher Ed
Classification of Issuers of Securities
Instructional Video3:58
Curated Video

Julia for Data Science (Video 24)

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 Video4:30
Curated Video

Ensemble Machine Learning Techniques 2.3: Ensemble Learning for Classification

Higher Ed
In this video, we will use python to write a simple ensemble learning model for classification. • We will use Jupyter Notebook to execute our code • Use Iris dataset to perform classification • Use hard voting and soft voting for...
Instructional Video3:32
Packt

Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Comparing Defence Approaches and Choosing the Best Defence

Higher Ed
From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency. The aim of this video is to provide guidance on choosing the best...
Instructional Video19:20
APMonitor

Split Data for Machine Learning

10th - Higher Ed
Splitting data ensures that there are independent sets for training, testing, and validation. Data can be divided into sequential blocks where the order is preserved (e.g. time series) or with random selection (shuffle). Cross-validation...
Instructional Video6:03
Weatherthings

Weather Things: Cumulus

6th - 8th
Clouds manifest moisture condensed in the air. In this program they are appreciated and pondered. Clouds give clues to wind direction, humidity levels, weather patterns, and they just make pretty sights. We look at the basic type of...
Instructional Video4:19
Curated Video

Describe a neural network : Evaluate Accuracy

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 Video12:45
Packt

Develop an AI system to solve a real-world problem : Classification versus Regression

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 Video2:26
Curated Video

Learning Objectives - Fundamental Principles of Machine Learning on Azure (30- 35%)

Higher Ed
In this video, we will understand the learning objectives of this domain. 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 +...
Instructional Video10:29
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding.

Higher Ed
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Building Deep Neural Networks with Keras,...
Instructional Video3:26
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Introduction to Machine Learning Tasks

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 give an overview of machine learning tasks. This...
Instructional Video0:55
Cerebellum

Late Scientific Revolution - Nehemiah Grew

9th - 12th
Part II of The Scientific Revolution explores the latter half of this movement and the gradual acceptance of scientific truth. This fascinating period of history chronicles European society's emergence from church domination that...
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 Video4:47
Fun Robotics

Class Project Cat, Dog and Duck

Higher Ed
Creating Smart Classification system categorizing Cat, Dogs and Duck