This is a video I have been wanting to make for some time, in which I discuss what the quaternions are, as mathematical objects, and how we do calculations with them. In particular, we will see how the fundamental equation of the quaternions i^2=j^2=k^2=ijk=-1 easily generates the rule for
From playlist Quaternions
Relational Databases (part 1 of 6)
The essential concepts of relational databases. Part of a larger series teaching programming. Visit codeschool.org
From playlist Relational Databases
Quaternions as 4x4 Matrices - Connections to Linear Algebra
In math, it's usually possible to view an object or concept from many different (but equivalent) angles. In this video, we will see that the quaternions may be viewed as 4x4 real-valued matrices of a special form. What is interesting here is that if you know how to multiply matrices, you a
From playlist Quaternions
Set Theory (Part 14c): More on the Quaternions
No background in sets required for this video. In this video, we will learn how the quaternions can be thought of as pairings of complex numbers. We also will show how the quaternions can be written as a 2x2 complex matrix as opposed to a 4x4 real matrix and how the unit quaternions form t
From playlist Set Theory
Matrix Groups (Abstract Algebra)
Matrices are a great example of infinite, nonabelian groups. Here we introduce matrix groups with an emphasis on the general linear group and special linear group. The general linear group is written as GLn(F), where F is the field used for the matrix elements. The most common examples
From playlist Abstract Algebra
Set Theory (Part 3): Ordered Pairs and Cartesian Products
Please feel free to leave comments/questions on the video and practice problems below! In this video, I cover the Kuratowski definition of ordered pairs in terms of sets. This will allow us to speak of relations and functions in terms of sets as the basic mathematical objects and will ser
From playlist Set Theory by Mathoma
Algebraic Structures: Groups, Rings, and Fields
This video covers the definitions for some basic algebraic structures, including groups and rings. I give examples of each and discuss how to verify the properties for each type of structure.
From playlist Abstract Algebra
Machine Learning Algorithms In-Depth Guide For 2022 | ML Algorithms Explained | Simplilearn
This video on Machine Learning Algorithm will take you through a detailed concept of machine learning algorithm. This video will help you to understand What is an Algorithm, What is Machine Learning, Types of Machine Learning, How Algorithms works in Machine Learning/Programing, Some popul
Training a machine learning model with scikit-learn
Now that we're familiar with the famous iris dataset, let's actually use a classification model in scikit-learn to predict the species of an iris! We'll learn how the K-nearest neighbors (KNN) model works, and then walk through the four steps for model training and prediction in scikit-lea
From playlist Machine learning in Python with scikit-learn
MF150: What exactly is a set? | Data Structures in Mathematics Math Foundations | NJ Wildberger
What exactly is a set?? This is a crucial question in the modern foundations of mathematics. Here we begin an examination of this thorny issue, first by discussing the usual English usage of the term, as well as alternate terms, such as collection, aggregate, bunch, class, menagerie etc th
From playlist Math Foundations
Learning Discrete Structures for Graph Neural Networks | AISC
For slides and more information on the paper, visit https://aisc.a-i.science/events/2019-05-27 Discussion lead: Sia Rezaei Motivation: Graph networks rely on the graph structure existing before hand which is not always the case. Here the authors present a novel method for learning the
From playlist Graph Neural Networks
KNN Algorithm In Machine Learning | KNN Algorithm Using Python | K Nearest Neighbor | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=KNNInMLMachineLearning&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.simp
From playlist Machine Learning with Python | Complete Machine Learning Tutorial | Simplilearn [2022 Updated]
KNN Algorithm Using R | KNN Algorithm Example | Data Science Training | Edureka
** Data Science Certification using R: https://www.edureka.co/data-science-r-programming-certification-course ** This Edureka video on "KNN algorithm using R", will help you learn about the KNN algorithm in depth, you'll also see how KNN is used to solve real-world problems. Below are the
From playlist Data Science Training Videos
KNN Algorithm using Python | How KNN Algorithm works | Python Data Science Training | Edureka
** Python for Data Science: https://www.edureka.co/data-science-python-certification-course ** This Edureka video on KNN Algorithm will help you to build your base by covering the theoretical, mathematical and implementation part of the KNN algorithm in Python. Topics covered under this vi
From playlist Machine Learning Algorithms in Python (With Demo) | Edureka
Rasa Livecoding: KNN Classifier (probably)
Welcome to Rasa livecoding with Rachael! This week we'll be working on building a KNN classifier for our dialect data... unless we don't, of course. Welcome to Rasa livecoding with Rachael! This week we'll be working on building a KNN classifier for our dialect data. Welcome to Rasa liv
From playlist Live Coding
Set Notation | Numbers | Maths | FuseSchool
A set, informally, is a collection of things considered to be a single object. Set notation requires the use of curly brackets and the objects within these brackets are called the ‘elements’ of the set. The elements in a set do not need to be in any order, but we will typically see numeric
From playlist MATHS: Numbers
Machine Learning Python | Machine Learning Algorithms | Python Tutorial | Edureka
🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training This Edureka video on Machine Learning Python is a part of the Python Tutorial Series which will give you an introduction to Machine Learning. Python is a powerful
From playlist Python Programming Tutorials | Edureka
Python KNN Algorithm Tutorial | Python for Big Data Analytics | Edureka
( Python Training : https://www.edureka.co/python ) K- Near Neighbors (KNN) is a simple algorithm in pattern recognition. It is a non-paramentric method, which measures distance between the scenario of a single query and a set of scenarios in a data set. It is mainly used for classificatio
From playlist Python Tutorial For Beginners | Edureka
Set Theory (Part 2): ZFC Axioms
Please feel free to leave comments/questions on the video and practice problems below! In this video, I introduce some common axioms in set theory using the Zermelo-Fraenkel w/ choice (ZFC) system. Five out of nine ZFC axioms are covered and the remaining four will be introduced in their
From playlist Set Theory by Mathoma
Machine Learning With R Full Course | Machine Learning Tutorial For Beginners | Edureka
🔥Data Scientist Masters Program: https://www.edureka.co/masters-program/data-scientist-certification This "Machine Learning with R Full Course With R " video by Edureka will help you to understand the core concepts of Machine Learning and tell you how you can implement popular Machine Lea
From playlist Machine Learning with R | Edureka