Instructional Video5:26
Curated Video

R Programming for Statistics and Data Science - The Linear Regression Model

Higher Ed
This video explains the linear regression model. This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression analysis.
Instructional Video6:14
Curated Video

AWS Certified Data Analytics Specialty 2021 – Hands-On - Classification Models

Higher Ed
This video explains the various classification models in machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS Certified Big Data Exam" of the series "AWS Certified Data Analytics...
Instructional Video21:58
APMonitor

Physics-Informed Neural Network

10th - Higher Ed
Physics-based information is integrated into the Neural Network architecture with the use of constraints or other relationships such as periodic cycles. Empirical regression has limitations, especially when predictions are requested...
Instructional Video9:56
Curated Video

Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics

Higher Ed
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
Instructional Video9:42
Curated Video

Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling

Higher Ed
From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine (GBM)....
Instructional Video1:34
Curated Video

Discuss the importance of data : Advantages and Disadvantages of Decision Trees

Higher Ed
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 Classification Tree:...
Instructional Video54:11
APMonitor

Classification and Regression: Concrete Strength

10th - Higher Ed
This case study is to determine the factors (inputs) that have correlation to the concrete compressive strength (output). 0:00 Introduction 2:35 Download Jupyter Notebook 4:00 Import Machine Learning Packages and Data 7:33 Part 1: Data...
Instructional Video17:20
Fun Robotics

Weight Prediction Model

Higher Ed
Training and testing a regression model to predict the weight of the fish.
Instructional Video13:14
Curated Video

Discuss the importance of data : Classification tree in Python: Training

Higher Ed
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 Classification Tree:...
Instructional Video35:25
APMonitor

Data Science 🐍 Solve Equations

10th - Higher Ed
Equations are at the root of data science. It is what turns data into actionable information by developing mathematical expressions that mimic physical systems. There are two primary ways to solve equations. The first method is a numeric...
Instructional Video4:32
Curated Video

Describe a neural network : Neural Network for Regression

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 Video4:06
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Categories of ML Tasks and Attacks

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 demonstrate that all approaches to solving...
Instructional Video17:51
APMonitor

Regression with MATLAB fmincon

10th - Higher Ed
A frequent activity in data science and machine learning is to develop correlations from data. By importing the data into MATLAB, data analysis such as statistics, trending, or calculations can be made to synthesize the information into...
Instructional Video2:56
Curated Video

Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves

Higher Ed
This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning
Instructional Video2:31
Catalyst University

NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)

Higher Ed
NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)
Instructional Video3:22
Curated Video

Evaluate the accuracy of an artificial intelligence system : Assessing the Accuracy of a Classification Model

Higher Ed
From the section: Logistic Regression. Learn about Logistic Regression here. Logistic Regression: Assessing the Accuracy of a Classification Model
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 Video5:02
Fun Robotics

Teachable Machine

Higher Ed
Explore different types of Machine Learning and experiment with Teachable Machine
Instructional Video3:47
Curated Video

Discuss the importance of data : Creating Decision tree in Python

Higher Ed
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 the...
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 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 Video32:18
APMonitor

Data Science 🐍 Regression

10th - Higher Ed
Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is to minimize a loss...
Instructional Video4:35
Curated Video

Statistics for Data Science and Business Analysis - Studying Regression Tables

Higher Ed
In this video, you'll learn about regression tables. This clip is from the chapter "Subtleties of Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains the Markowitz Portfolio...