Моделирование систем. Лекция 7. Модели массового обслуживания
1. Задачи теории массового обслуживания. 2. Классификация систем массового обслуживания (СМО). 3. Статистическое моделирование СМО. 4.
Образование для всех
Discrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/
Steve Brunton
System Identification Methods
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837 Download eBook on the fundamentals of control theory (in progress): ...
Brian Douglas
5. Stochastic Processes I
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Choongbum ...
MIT OpenCourseWare
15. Petri nets, Basis of The Flow of Tokens(lecture)
Graphical & Computational Modelling of Biological Pathways Lecture by professor Tom Freeman Filmed during a half-day training course held at The Roslin ...
The Roslin Institute - Training
Deterministic vs stochastic trends
This video explains the difference between stochastic and deterministic trends. A simulation is provided at the end of the video, demonstrating the graphical ...
Ben Lambert
DSP Lecture 19: Introduction to adaptive filtering; ARMA processes
ECSE-4530 Digital Signal Processing Rich Radke, Rensselaer Polytechnic Institute Lecture 19: Introduction to adaptive filtering; moving average, ...
Rich Radke
Models for the Origin of Biological Homochirality
Faculty Lecture Series: October 09, 2013 Donna Blackmond, Ph.D., Professor of Chemistry Click [CC] in video viewer to access Closed Captions and Subtitles ...
Scripps Research
Markov Chains - Part 1
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 2: ...
patrickJMT
4. Stochastic Thinking
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag ...
MIT OpenCourseWare
Ensemble Learning | Ensemble Learning In Machine Learning | Machine Learning Tutorial | Simplilearn
Ensemble Learning is a popular machine learning technique for building models. This video on Ensemble Learning covers the basics of Ensemble Learning ...
Simplilearn
Распознавание предметов одежды | Нейросети на Python
Нейросеть в Keras для распознавания предметов одежды из набора данных Fashion MNIST. Курс "Программирование глубоких нейронных сетей на ...
Andrey Sozykin
Do Statistical Models Understand the World? - Ian Goodfellow, Research Scientist, Google
'Do Statistical Models Understand the World?' - Ian Goodfellow, Research Scientist, Google Machine learning algorithms have reached human-level ...
RE•WORK
Stanford Webinar: System Innovation - Strategies for tackling complexity and scale
Stanford Webinar presented by Stanford's Leadership for Sustainability program (http://globalimpact.stanford.edu/) Systems Innovation: Strategies for Tackling ...
stanfordonline
15. Unraveling Open System Quantum Dynamics
MIT 8.422 Atomic and Optical Physics II, Spring 2013 View the complete course: http://ocw.mit.edu/8-422S13 Instructor: Wolfgang Ketterle In this lecture, the ...
MIT OpenCourseWare
A gentle introduction to network science: Dr Renaud Lambiotte, University of Oxford
The language of networks and graphs has become a ubiquitous tool to analyse systems in domains ranging from biology to physics and from computer science ...
The Alan Turing Institute
Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUs
Lecture 9 recaps the most important concepts and equations covered so far followed by machine translation and fancy RNN models tackling MT. Key phrases: ...
Stanford University School of Engineering
The neutral theory of ecology
MIT 8.591J Systems Biology, Fall 2014 View the complete course: http://ocw.mit.edu/8-591JF14 Instructor: Jeff Gore In this lecture, Prof. Jeff Gore asks why are ...
MIT OpenCourseWare
15. Factor Modeling
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter ...
MIT OpenCourseWare
Lec-4 Dynamic Systems and Dynamic Response
Lecture series on Control Engineering by Prof. Madan Gopal, Department of Electrical Engineering, IIT Delhi. For more details on NPTEL visit ...
nptelhrd
Dr. Valter Longo on Resetting Autoimmunity and Rejuvenating Systems with Prolonged Fasting & the FMD
This episode is a spectacular round two podcast with Dr. Valter Longo. Dr. Longo is the current director of the longevity institute at the University of Southern ...
FoundMyFitness
Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Josh ...
MIT OpenCourseWare
Lecture 2: Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019)
Topics: Linear classification, Loss minimization, Stochastic gradient descent Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford ...
stanfordonline
Koopman Spectral Analysis (Overview)
In this video, we introduce Koopman operator theory for dynamical systems. The Koopman operator was introduced in 1931, but has experienced renewed ...
Steve Brunton
Mini Courses - SVAN 2016 - MC5 - Class 01 - Stochastic Optimal Control
Mini Courses - SVAN 2016 - Mini Course 5 - Stochastic Optimal Control Class 01 Hasnaa Zidani, Ensta-ParisTech, France Página do Evento: ...
Instituto de Matemática Pura e Aplicada
Map Matching @ Uber
At a recent Uber Marketplace meetup, software engineer Karan Parikh discusses how Uber Engineering leverages the Hidden Markov Model to improve our ...
Uber Engineering
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering ...
Lex Fridman
JuliaCon 2020 | Learn Julia via Epidemic Modeling
Davids resource's for this workshop: https://github.com/dpsanders/LearnJulia2020 This is a tutorial workshop, aimed at people with some experience of using ...
The Julia Programming Language
Alberto Bemporad | Embedded Model Predictive Control
Recent Advances in Embedded Model Predictive Control Model Predictive Control (MPC) is one of the most successful techniques adopted in industry to control ...
University of Michigan Engineering
Artificial Intelligence in 2020
This video recaps developments in AI from 2019! Happy New Year! Thanks for watching! Please Subscribe! Links from Video Below: The Lottery Ticket ...
Henry AI Labs
Judith Campisi, Ph.D. on Cellular Senescence, Mitochondrial Dysfunction, Cancer & Aging
Dr. Rhonda Patrick interviews Dr. Judy Campisi, a professor of biogerontology at the Buck Institute for Research on Aging, a co-editor in chief of the Aging ...
FoundMyFitness
17. (Yesterday's &) Today's Electric Power System
MIT 15.031J Energy Decisions, Markets, and Policies, Spring 2012 View the complete course: http://ocw.mit.edu/15-031JS12 Instructor: Richard Schmalensee ...
MIT OpenCourseWare
16. Portfolio Management
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Jake Xia This ...
MIT OpenCourseWare
Attention in Neural Networks
In this video, we discuss Attention in neural networks. We go through Soft and hard attention, discuss the architecture with examples. SUBSCRIBE to the channel ...
CodeEmporium
Understanding Discrete Event Simulation, Part 1: What Is Discrete Event Simulation
Watch more MATLAB Tech Talks: https://goo.gl/ktpVB7 Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: ...
MATLAB
Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning
Institut des Hautes Études Scientifiques (IHÉS)
2. Micro-Founded Macro Models
MIT 14.772 Development Economics: Macroeconomics, Spring 2013 View the complete course: http://ocw.mit.edu/14-772S13 Instructor: Robert Townsend This ...
MIT OpenCourseWare
Stanford Seminar - Deep Learning in Speech Recognition
EE380: Computer Systems Colloquium Seminar Deep Learning in Speech Recognition Speaker: Alex Acero, Apple Computer While neural networks had been ...
stanfordonline
Action potential patterns | Nervous system physiology | NCLEX-RN | Khan Academy
Created by Matthew Barry Jensen. Watch the next lesson: ...
khanacademymedicine
Python I webinar: Introduction to Modeling with Python
Python is a powerful and well-supported programming language that's also a good choice for mathematical modeling. It has special features that make it easy to ...
Gurobi Optimization
Object Recognition With Deformable Models
The problem of detecting and localizing objects in images has important applications in a variety of areas, including robotics, image retrieval and medical image ...
UW Video
John Birge | Increasing Electric Market Efficiency with Flexible Mechanisms | Smart Grid Seminar
Current wholesale electricity market designs of day-ahead and real-time markets have inherent inefficiencies that are amplified with greater shares from ...
Stanford ENERGY
