Worldwide Calculus: Multi-Component Functions of a Single Variable
Lecture on 'Multi-Component Functions of a Single Variable' from 'Worldwide Multivariable Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Worldwide Multivariable Calculus
04-2 Sensitivity Analysis Global
Sobol' and regionalized sensitivity analysis
From playlist QUSS GS 260
Uncertainty Estimation via (Multi) Calibration
A Google TechTalk, presented by Aaron Roth, 2020/10/02 Paper Title: "Moment Multi-calibration and Uncertainty Estimation" ABSTRACT: We show how to achieve multi-calibrated estimators not just for means, but also for variances and other higher moments. Informally, this means that we can fi
From playlist Differential Privacy for ML
Multithreaded Python without the GIL
CPython’s “Global Interpreter Lock”, or “GIL”, prevents multiple threads from executing Python code in parallel. The GIL was added to Python in 1992 together with the original support for threads in order to protect access to the interpreter’s shared state. Python supports a number of way
From playlist Python
Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis
Abstract: Uncertainty quantification (UQ) in the context of engineering applications aims aims at quantifying the effects of uncertainty in the input parameters of complex models on their output responses. Due to the increased availability of computational power and advanced modelling tech
From playlist Probability and Statistics
Machine Learning @ Amazon by Rajeev Rastogi
DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr
From playlist The Theoretical Basis of Machine Learning 2018 (ML)
Review2topic: Building Topics Detection Model to Leverage Reviews Data in Booking.com
Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ Presented by Moran Beladev, Machine Learning Manager at Boo
From playlist NLP Summit 2022
11_3_6 Continuity and Differentiablility
Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.
From playlist Advanced Calculus / Multivariable Calculus
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics
20e Spatial Data Analytics: Summarizing Uncertainty
Subsurface modeling course lecture on summarizing uncertainty.
From playlist Spatial Data Analytics and Modeling
Kaggle Reading Group: Probing the Need for Visual Context in Multimodal Machine Translation| Kaggle
Join us for a special Kaggle Days edition of the Kaggle reading group! We'll be reading the recently-annouced best short paper from NAACL 2019; "Probing the Need for Visual Context in Multimodal Machine Translation". You can find a copy here: https://arxiv.org/pdf/1903.08678.pdf SUBSCRIBE
From playlist Kaggle Reading Group | Kaggle
Peter Battaglia: "Learning structured models of physics"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Learning structured models of physics" Peter Battaglia, DeepMind Technologies Abstract: This talk will describe a class of machine learning methods for reasoning about
From playlist Machine Learning for Physics and the Physics of Learning 2019
Multivariable Calculus | Differentiability
We give the definition of differentiability for a multivariable function and provide a few examples. http://www.michael-penn.net https://www.researchgate.net/profile/Michael_Penn5 http://www.randolphcollege.edu/mathematics/
From playlist Multivariable Calculus
DeepMind x UCL | Deep Learning Lectures | 9/12 | Generative Adversarial Networks
Generative adversarial networks (GANs), first proposed by Ian Goodfellow et al. in 2014, have emerged as one of the most promising approaches to generative modeling, particularly for image synthesis. In their most basic form, they consist of two "competing" networks: a generator which trie
From playlist Learning resources
SDS 607: Inferring Causality — with Jennifer Hill
#DataScience #CausalInference #BayesianStatistics We welcome Dr. Jennifer Hill, Professor of Applied Statistics at New York University, to the podcast this week for a discussion that covers causality, correlation, and inference in data science. This episode is brought to you by Pachyderm
From playlist Super Data Science Podcast
Clustering In Data Science | Data Science Tutorial | Simplilearn
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=Clustering-Data-Science-a3It88zzbiA&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/dat
From playlist Unsupervised Learning Algorithms [2022 Updated]
Inferring physical parameters in turbulence... - Biferale - Workshop 2 - CEB T3 2019
Biferale ( U Tor Vergata/INFN, I) / 12.11.2019 Inferring physical parameters in turbulence: from nudging to machine learning ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/Insti
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
DjangoCon US 2017 - Preventing headaches with linters and automated checks by Flávio Junior
DjangoCon US 2017 - Preventing headaches with linters and automated checks by Flávio Junior While it’s very common to enforce PEP8 code style with tools like flake8, it’s rare for Django projects to use any other types of tools for automated checks. However, linters and automated checks a
From playlist DjangoCon US 2017
Reliability 1: External reliability and rater reliability and agreement
In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.
From playlist Reliability analysis