Professor Dave Explains
Classification of Sedimentary Rocks Part 1: Terrigenous/Siliciclastic Rocks
We now know what sedimentary rocks are, but how do we classify them? We have to discuss three broad categories of sedimentary rock, and the first of these are terrigenous or siliciclastic rocks. These are rocks composed of clasts, or...
Curated Video
ISO 27002-2022 Control Examples
In this video, we will be exploring ISO 27002-2022 control examples. ISO 27002-2022 is a globally recognized standard for information security management systems. It provides a framework for organizations to establish, implement,...
Visual Learning Systems
Classifying the Diversity of Living Things
In this video, we explore the challenging task of classifying the millions of different living things on our planet. By understanding classification principles and utilizing these tools, taxonomists contribute to our understanding of the...
Professor Dave Explains
Introduction to Biopsychology
Let's learn all about the human brain! It's the most complex and fascinating object in the known universe. It's the source of our consciousness, so we wouldn't be much without it. This course will assume prior knowledge from my...
Professor Dave Explains
Research Methods of Biopsychology
With some information regarding the organization of neurons and neural pathways, we are ready to start getting into some deeper topics. But before we do that, it will be useful to get a general sense of precisely how we learn about the...
Let's Tute
Classification of Accounts in Accounting
This video is a lesson on the important topic of classification of accounts in accounting. The teacher explains the concept of accounts and how they are systematically recorded and summarized based on similar transactions related to a...
Fun Robotics
Iris Flower Classification Model
Training a classification model to predict the class of an Iris flower.
Curated Video
Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling
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)....
Visual Learning Systems
Classifying Life Quiz
This video is a quiz over the topics covered in the Classifying Life series. This series explores the fascinating process of classifying living things. From the contributions of Aristotle and Carolus Linnaeus to the modern classification...
Curated Video
Discuss the importance of data : Advantages and Disadvantages of Decision Trees
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:...
APMonitor
Classification and Regression: Concrete Strength
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...
Fun Robotics
Binary vs Multiclass Classification
Explains the difference between binary and multiclass classification problem.
Fun Robotics
Classification Applications
Introducing class 5 and Exploring the Different Applications of Classification
APMonitor
Data Science 🐍 Python Course
Python 🐍 Data Science with the TCLab Welcome to this data science course on Python! This course is intended to help you develop data science and machine learning skills in Python. As with the beginning course, this course has video...
Visual Learning Systems
Classifying Life Review
This video is a review of the topics covered in the Classifying Life series. This video explores the fascinating process of classifying living things. From the contributions of Aristotle and Carolus Linnaeus to the modern classification...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Logistic Regression In Action
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 cross-validation....
Professor Dave Explains
Types of Immune Cells Part 2: Myeloid and Lymphoid Lineages
With the basic functions of immune cells covered, we are now ready to go through all the different types of immune cells, and talk a little bit about what they all do. Again, each type will get its own tutorial later in the series, but...
Professor Dave Explains
Psychiatric Disorders Schizophrenia, Depression, Mania, and Anxiety
There are lots of ways that things can go wrong in the brain, and some of these things lead to psychiatric disorders. Some of the more common ones include schizophrenia, depression, mania, and anxiety. How are these diagnosed? What are...
APMonitor
Logistic Regression from Scratch
Logistic regression is a machine learning algorithm for classification. In this algorithm, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function. Logistic regression makes a binary...
APMonitor
Data Science 🐍 Classification
Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition, or a word from speech recognition. There are two main methods for training...
Visual Learning Systems
Investigating Protists: What Are Protists?
Eukaryotes that are clearly not animals, plants, or fungi belong to a very diverse and fascinating group called protists. This series of videos uses captivating video footage to illustrate organisms from tiny microscopic creatures to...
Fun Robotics
Diabetes Classification Model
Training and testing a classification model to predict the patient's diabetic status.
APMonitor
Convolutional Neural Network Image Classification
Deep Learning (DL) is a subset of Machine Learning that uses Neural Network inspired architecture to make predictions. Convolutional Neural Networks (CNN) are a type of DL model that is effective in learning patterns in 2-dimensional...
APMonitor
SVM Texture Classification
Use the texture classifier to distinguish between sand, seed, and stone and then add an additional texture to the classification (your choice). The script uses a Local Binary Pattern (LBP) to create the features and a Support Vector...