Verify the Trigonometric Identity cos(x - pi) = -cos(x)
In this video we verify the trigonometric identity cos(x - pi) = -cos(x). To do this we use the difference identity for the cosine function. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affiliate links) ***********Math, Physics, and
From playlist Sum and Difference Identities
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
Verify the Trigonometric Identity cos(3pi/2 - x) = -sin(x)
In this video we verify the trigonometric identity cos(3pi/2 - x) = -sin(x). To do this we use the difference identity for the cosine function. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affiliate links) ***********Math, Physics,
From playlist Sum and Difference Identities
Verify the Trigonometric Identity cos(pi + x) = -cos(x)
In this video we verify the trigonometric identity cos(pi + x) = -cos(x). To do this we use the difference identity for cosine. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affiliate links) ***********Math, Physics, and Computer Sci
From playlist Sum and Difference Identities
Cosine Similarity | Introduction to Text Analytics with R Part 10
Cosine Similarity includes specific coverage of: – How cosine similarity is used to measure similarity between documents in vector space. – The mathematics behind cosine similarity. – Using cosine similarity in text analytics feature engineering. – Evaluation of the effectiveness of the c
From playlist Introduction to Text Analytics with R
Verify the Trigonometric Identity cos(3pi/2 + x) = sin(x)
In this video we verify the trigonometric identity cos(3pi/2 + x) = sin(x). To do this we use the sum identity for the cosine function. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affiliate links) ***********Math, Physics, and Comp
From playlist Sum and Difference Identities
Saloni Ramakrishna: Why is regulatory, compliance and data coherence so important?
At RiskMinds International, Liz MacKean speaks with Saloni Ramakrishna, Author and Senior Director at Oracle. They discuss the future regulatory challenges that Europe face. Find out more at https://goo.gl/KVtbtC.
From playlist RiskMinds 2016
Covariance (5 of 17) What is the Covariance Matrix?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the covariance matrix is an nxn matrix (where n=number of data sets) such that the diagonal elements represents the va
From playlist COVARIANCE AND VARIANCE
Open Source Quantum Computing: Write Your Own Quantum Programs
Quantum computers are not just science fiction anymore, with many companies building increasingly more powerful quantum computers. While, concepts in quantum computing have been around for over 30 years, but it hasn't been generally accessible until recently. Despite this quantum computing
From playlist Quantum Computing
Distinguished Visitor Lecture Series by Mark van der Laan Targeted Learning with Applications to ..
Distinguished Visitor Lecture Series Targeted Learning with Applications to Genomic Studies Mark van der Laan University of California, Berkeley, USA
From playlist Distinguished Visitors Lecture Series
LMS Popular Lecture Series 2012, Attempting to Model the Mathematical Mind
On Attempting to Model the Mathematical Mind A London Mathematical Society Popular Lecture given by Professor Sir Roger Penrose FRS
From playlist LMS Popular Lectures 2007 - present
CMU Neural Nets for NLP 2017 (12): Transition-based Dependency Parsing
This lecture (by Graham Neubig) for CMU CS 11-747, Neural Networks for NLP (Fall 2017) covers: * What is Transition-based Parsing? * Shift-reduce Parsing w/ Feed-forward Nets * Stack LSTM * A Simple Alternative: Linearized Trees Slides: http://phontron.com/class/nn4nlp2017/assets/slides/
From playlist CMU Neural Nets for NLP 2017
Trigonometry - Cofunction identities
In this video I cover the cofunction identities. These give a great way you can write one function in terms of its cofunction. Remember that when doing this the angles must be complimentary. For more videos please visit http://www.mysecretmathtutor.com
From playlist Trigonometry
Machine learning-based design (of proteins, small molecules and beyond) - Jennifer Listgarten
Seminar on Theoretical Machine Learning Topic: Machine learning-based design (of proteins, small molecules and beyond) Speaker: Jennifer Listgarten Affiliation: University of California, Berkeley Date: July 7, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
CS25 I Stanford Seminar - Transformers in Language: The development of GPT Models including GPT3
While the Transformer architecture is used in a variety of applications across a number of domains, it first found success in natural language. Today, Transformers remain the de facto model in language - they achieve state-of-the-art results on most natural language benchmarks, and can gen
From playlist Stanford Seminars
What is a Coordinate Covalent Bond?
This chemistry video tutorial provides a basic introduction into coordinate covalent bond. Line any covalent bond, electrons are shared. However, in a coordinate covalent bond, one atom donates both electrons that contribute to the formation of the bond. A lewis acid lewis base reaction
From playlist New AP & General Chemistry Video Playlist
QRM 9-1: Market risk and historical simulation
Welcome to Quantitative Risk Management (QRM). It is time to introduce market risk, and to start considering how we can assess and hedge it according to the Basel regulations. We will see that VaR and ES are the main quantities we will use, but we know that they need a loss distribution t
From playlist Quantitative Risk Management
"Finally, JavaScript Is Easy!"
JavaScript: can it reliably be used in large business applications? Is it usable in the context of enterprise applications to create the frontend of browser-based applications? How are enterprises such as PayPal, Tesco, and Oracle solving these problems? In this session, you'll be introdu
From playlist JavaScript
Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2) | Kaggle
Join Kaggle Data Scientist Rachael as she reads through an NLP paper! Today's paper is "Language Models are Unsupervised Multitask Learners" (Radford et al, unpublished). You can find a copy here: https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf SUBSCRIBE: ht
From playlist Kaggle Reading Group | Kaggle
Verify the Trigonometric Identity cos(pi/2 + x) = -sin(x)
In this video we verify the trigonometric identity cos(pi/2 + x) = -sin(x). To do this we use the sum identity for cosine. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affiliate links) ***********Math, Physics, and Computer Science
From playlist Sum and Difference Identities