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...
Professor Dave Explains
Basidiomycota Part 2: The Mushroom Life Cycle
We've looked at two of the three subphyla within the phylum Basidiomycota. But before we dive into all the different amazing types of mushrooms, let's get a better understanding of their life cycle, as this will provide important context...
Curated Video
Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics
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....
Curated Video
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Categories of ML Tasks and Attacks
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...
Professor Dave Explains
Mechanisms of Natural Selection Conflict, Spite, and Reciprocity
We learned about how altruism can evolve in certain species, which involves cooperative behavior among closely-related organisms to enhance the inclusive fitness of the group. But this is also achieved through spiteful behavior towards...
Curated Video
Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves
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
TLDR News
Who Decides Which Drugs are Legal? Drug Classification Explained - TLDR News
Yes, you read that right. According to the UK's former drugs advisor horses are more dangerous than drugs. So in this video we unpack how drug classification works, how the danger of drugs is measured and who decides which ones are illegal.
Curated Video
Maslow's Hierarchy of Needs: Motivating Workers towards Self-Actualization
This video is a lecture presentation that explains Maslow's hierarchy of needs, which is a theory in psychology that describes the different types of needs that individuals have and how they relate to each other. The presenter discusses...
Catalyst University
Blood Pressure Categories + 5 Examples
In this video, we define the measurement of blood pressure and explore the current classifications for blood pressure using 5 examples.
Curated Video
Predictive Analytics with TensorFlow 5.2: Using kNN for Predictive Analytics
kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...