Categories in category theory

Fuzzy category

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What Is Fuzzy Logic? | Fuzzy Logic, Part 1

This video introduces fuzzy logic and explains how you can use it to design a fuzzy inference system (FIS), which is a powerful way to use human experience to design complex systems. Designing a FIS does not require a model, so it works well for complex systems with underlying mechanisms t

From playlist Fuzzy Logic

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Introduction to Fuzzy Logic, Fuzzy Logic System, Fuzzy Logic Controller

This video is about the introduction of Fuzzy Logic System which is also referred as Fuzzy Inference System. The basic concept of fuzzy sets and the working principle of a Fuzzy Logic System (Fuzzy Inference System) will be described. A fuzzy controller implemented by a Fuzzy Logic System

From playlist Fuzzy Logic

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Fuzzy Logic Systems - Part 1: Introduction

This video is about Fuzzy Logic Systems - Part 1: Introduction

From playlist Fuzzy Logic

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Fuzzy Logic Systems - Part 2: Fuzzy Inference System

This video is about Fuzzy Logic Systems - Part 2: Fuzzy Inference System

From playlist Fuzzy Logic

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Category Theory 1.2: What is a category?

What is a Category?

From playlist Category Theory

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Fuzzy Logic Examples | Fuzzy Logic Part 3

Watch this fuzzy logic example of a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition about the system—no mathematical models necessary. Fuzzy Logic Toolbox: https://bit.ly/3kypWT4?s_eid=PSM_15028 -------

From playlist Fuzzy Logic

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Category Theory 2.1: Functions, epimorphisms

Functions, epimorphisms

From playlist Category Theory

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What is a Category? | Nathan Dalaklis

Categories and Functors can be pretty mindboggling mathematical objects to wrap your head around if you're not used to abstract math, but they come up as useful tools to study different structures in mathematics and beyond. So... What is a Category? Here I introduce the definition of a Cat

From playlist The New CHALKboard

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ShmooCon 2013: astiff: Automated Static Analysis Framework

For more information and to download the video visit: http://bit.ly/shmoocon2013 Playlist ShmooCon 2013: http://bit.ly/Shmoo13 Speaker: Tyler Hudak Malware analysis consists of two phases -- static and dynamic analysis. Dynamic analysis, or analyzing the behavior of a sample, has already

From playlist ShmooCon 2013

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Descriptive Statistics for Categorical Data - Statistics with SPSS 27 for Beginners (4 of 8)

Dr. Daniel, Diva, and Desi explain categorical variables and show you how to display them in tables, as numbers, and with graphs. You learn the correct choices for describing categorical data using the Dog Toys dataset and the FREQUENCIES menu in SPSS. We create frequency tables and bar c

From playlist Introduction to Statistics with IBM SPSS 27 for Beginners (with Puppies)

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Kaggle Live Coding: Fuzzy Matching for Spelling Erros | Kaggle

This week we'll be working on using fuzzy matching to help correct spelling errors in the dataset "International Energy Statistics" (link to data: https://www.kaggle.com/unitednations/international-energy-statistics) About Kaggle: Kaggle is the world's largest community of data scientists

From playlist Kaggle Live Coding | Kaggle

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7 2 Categories

Recorded: Spring 2014 Lecturer: Dr. Erin M. Buchanan Materials: created for Memory and Cognition (PSY 422) using Smith and Kosslyn (2006) Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/other-courses/

From playlist PSY 422 Memory and Cognition with Dr. B

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Compositionality Journal: A quick look at the first papers

In this video I take a first look at the papers of the newly announced Compositionality Journal that relates to the "Applied Category Theory" crowd. Here's all the links shown in this video: https://gist.github.com/Nikolaj-K/7ea620559982c99618dd1032e1e8389f The papers are * Network models

From playlist Algebra

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Inference in a Nonconceptual World, Brian Cantwell Smith

Brian Cantwell Smith, Reid Hoffman Professor of Artificial Intelligence and the Human, University of Toronto Classical models of inference, such as those based on logic, take inference to be *conceptual* – i.e., to involve representations formed of terms, predicates, relation symbols, and

From playlist Franke Program in Science and the Humanities

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Drop the first category from binary features (only) with OneHotEncoder

New in version 0.23: Use drop='if_binary' with OneHotEncoder to drop the first category ONLY if it's a binary feature (meaning it has exactly two categories). Note: Beginning in scikit-learn 1.0, drop='first' and drop='if_binary' can both be used with handle_unknown='ignore'. However, the

From playlist scikit-learn tips

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Visualizing Two Variables at Once Using Cross Tabulation and Scatterplots (Week 4A)

Categorical (nominal & ordinal) data are summarized in frequency tables and displayed with a bar chart. After explaining frequency, Dr. Daniel shows you how to create a frequency table in Excel and two to create a frequency table, bar chart, and pie chart in JASP. All examples use the DogT

From playlist Basic Business Statistics (QBA 237 - Missouri State University)

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CERIAS Security: Categories of Digital Forensic Investigation Techniques 4/6

Clip 4/6 Speaker: Brian Carrier · Purdue University This talk examines formal concepts of digital forensic investigations. To date, the field has had an applied focus and little theory exists to formally define analysis techniques and requirements. This work defines an extended finite

From playlist The CERIAS Security Seminars 2006

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Math 101 Fall 2017 112917 Introduction to Compact Sets

Definition of an open cover. Definition of a compact set (in the real numbers). Examples and non-examples. Properties of compact sets: compact sets are bounded. Compact sets are closed. Closed subsets of compact sets are compact. Infinite subsets of compact sets have accumulation poi

From playlist Course 6: Introduction to Analysis (Fall 2017)

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Approaching (almost) Any Machine Learning Problem | by Abhishek Thakur | Kaggle Days Dubai | Kaggle

Abhishek Thakur is the chief data scientist at https://boost.ai building state-of-the-art chatbots primarily for banking and insurance industries. His passion lies in solving difficult world problems through data science. He is the co-organizer of the Berlin Machine Learning Meetup and not

From playlist Kaggle Days Dubai Edition | by LogicAI + Kaggle

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Fuzzy set