In linguistics, statistical semantics applies the methods of statistics to the problem of determining the meaning of words or phrases, ideally through unsupervised learning, to a degree of precision at least sufficient for the purpose of information retrieval. (Wikipedia).
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
The Vocabulary of Statistics – Terminology for Beginning Statistics (1-1)
Welcome to the study of statistics! We will begin with an introduction to some new terminology that we will be using in our adventure. I will introduce you to four goals of statistics (to collect, organize, analyze, and interpret data), three meanings of the word “statistics” (practice, pr
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Statistics - The vocabulary of statistics
This video will give show you a few terms that are used in statistics such as data, population, sample, parameter, statistic, and variable. Remember that it matters if you are talking about the whole group, or a portion of that group. For more videos please visit http://www.mysecretmatht
From playlist Statistics
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Distributions - Statistical Inference
In this video I talk about distribution, how to visualize it and also provide a concrete definition for it.
From playlist Statistical Inference
Conceptual Questions about Random Variables and Probability Distributions
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Random Variables and Probability Distributions
From playlist Statistics
Statistics: Introduction (13 of 13) What is the Difference Between Statistics and Probability?
Visit http://ilectureonline.com for more math and science lectures! We will discuss the difference between statistics and probability. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . First video in this series can be seen at: https://youtu.be/C6jd
From playlist THE "WHAT IS" PLAYLIST
Efficiency is the New Precision | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ The global data sphere consisting of machine data and h
From playlist NLP Summit 2020
Simplified Machine Learning Workflows with Anton Antonov, Session #7: Semantic Analysis (Part 2)
Summary text: Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. In this session, he discusses the Latent Semantic Analysis Workflows. Notebook materials are available at: h
From playlist Simplified Machine Learning Workflows with Anton Antonov
Simplified Machine Learning Workflows with Anton Antonov, Session #8: Semantic Analysis (Part 3)
Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. This session will be the part 3 where he discusses the Latent Semantic Analysis Workflows. Notebook materials are available
From playlist Simplified Machine Learning Workflows with Anton Antonov
Negativity and semantic change - Will Hamilton, Stanford University
It is often argued that natural language is biased towards negative differentiation, meaning that there is more lexical diversity in negative affectual language, compared to positive language. However, we lack an understanding of the diachronic linguistic mechanisms associated with negativ
From playlist Turing Seminars
Simplified Machine Learning Workflows with Anton Antonov, Session #6: Semantic Analysis (Part 1)
Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. In this session, he discusses the Latent Semantic Analysis Workflows. Notebook materials are available at: https://wolfr.am
From playlist Simplified Machine Learning Workflows with Anton Antonov
Seminar 5: Tom Mitchell - Neural Representations of Language
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Tom Mitchell Modeling the neural representations of language using machine learning to classify words from fMRI data, predictive models for word feat
From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
Understanding Semantic Web and its Applications by Asha Subramanian
PROGRAM SUMMER SCHOOL FOR WOMEN IN MATHEMATICS AND STATISTICS (ONLINE) ORGANIZERS: Siva Athreya (ISI-Bengaluru, India), Purvi Gupta (IISc, India), Anita Naolekar (ISI-Bengaluru, India) and Dootika Vats (IIT-Kanpur, India) DATE: 14 June 2021 to 25 June 2021 VENUE: ONLINE The summer sch
From playlist Summer School for Women in Mathematics and Statistics (ONLINE) - 2021
Detecting semantic shift in large corpora by exploiting temporal random indexing
During the last decade, the surge in available data spanning different epochs has inspired a new analysis of cultural, social, and linguistic phenomena from a temporal perspective. In this talk, I will describe Temporal Random Indexing (TRI) a method that enables the analysis of the time e
From playlist Turing Seminars
Linguistically informed NLP for healthcare experience data | Healthcare NLP Summit 2021
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ Investigation of attention mechanisms of BER
From playlist Healthcare NLP Summit 2021
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics