How to Get Started with Control Systems in MATLAB
Designing a controller can be tricky if you don't know where to start. This video will show how to design a controller for a system using the Control System ...
MATLAB
Introduction to State Space Models
State space models are a matrix form for linear time-invariant systems. This introduction gives information on deriving a state space model from linear or ...
APMonitor.com
Model Predictive Control
This lecture provides an overview of model predictive control (MPC), which is one of the most powerful and general control frameworks. MPC is used extensively ...
Steve Brunton
Future of Computational Science: Center for Predictive Engineering and Computational Sciences
The Center for Predictive Engineering and Computational Science (PECOS) is a research center in the Institute for Computational Engineering and Sciences ...
WebsEdgeEducation
Predicting the onset & post-failure of geomaterials
Webinar hosted by University of Liverpool, sponsored by Optum CE. Content Geotechnical designs often rely on traditional analytical and computational ...
Optum Computational Engineering
Two Effective Algorithms for Time Series Forecasting
Are you enthusiastic about sharing your knowledge with your community? InfoQ.com is looking for part-time news writers with experience in artificial intelligence ...
InfoQ
Lec-30 Queueing Models
Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit ...
nptelhrd
Introduction to System Identification
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r In this webinar, you will have a ...
MATLAB
Power System Reliability and Demand Forecasting: Module 03
Module 3: Power System Reliability - Introduction by Chanan Singh.
UMN-CUSP
Model Predictive Control 5 - Prediction with state space models
Introduces the procedure of prediction using mathematical models. Prediction is core to the efficacy of MPC and thus good comprehension of how this is done is ...
John Rossiter
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
The Maths of Climate Change
Climate change is controversial and the subject of huge debate. Complex climate models based on maths helps us understand. How do these models work?
Gresham College
A Compressed Overview of Sparsity
This talk presents a high level overview of compressed sensing, especially as it relates to engineering applied mathematics. We provide context for sparsity and ...
Steve Brunton
Sensitivity and uncertainty sources in numerical modeling to forecast atmospheric systems
Sensitivity and uncertainty sources in numerical modeling to forecast atmospheric systems: High-resolution WRF model simulations in urban valleys applied to ...
Canal En VIVO - Universidad EAFIT
Working with Time Series Data in MATLAB
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r A key challenge with the growing ...
MATLAB
GPT3: An Even Bigger Language Model - Computerphile
Basic mathematics from a language model? Rob Miles on GPT3, where it seems like size does matter! More from Rob Miles: http://bit.ly/Rob_Miles_YouTube ...
Computerphile
Lecture 15 | Efficient Methods and Hardware for Deep Learning
In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training and inference of deep learning ...
Stanford University School of Engineering
Time Series Analysis (Georgia Tech) - 5.2.2 - State Space Modelling - Prediction and Estimation
Time Series Analysis PLAYLIST: https://tinyurl.com/TimeSeriesAnalysis-GeorgiaTech Unit 5: Other Time Series Methods Part 2: Multivariate Time Series ...
Bob Trenwith
Pranav Bahl, Jonathan Stacks - Robust Automated Forecasting in Python and R
This talk will cover how to make millions of time series forecasts in an automated fashion. We will be covering helpful heuristics to inform preprocessing, tradeoffs ...
PyData
Random Forest Algorithm - Random Forest Explained | Random Forest in Machine Learning | Simplilearn
This Random Forest Algorithm tutorial will explain how Random Forest algorithm works in Machine Learning. By the end of this video, you will be able to ...
Simplilearn
MIT Self-Driving Cars: State of the Art (2019)
Introductory lecture of the MIT Self-Driving Cars series (6.S094) with an overview of the autonomous vehicle industry in 2018 and looking forward to 2019, ...
Lex Fridman
AI in Healthcare: Real-World Machine Learning Use Cases
Levi Thatcher, PhD, VP of Data Science at Health Catalyst will share practical AI use cases and distill the lessons into a framework you can use when evaluating ...
Health Catalyst
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jeff Roach
PyData LA 2018 This talk describes an experimental approach to time series modeling using 1D convolution filter layers in a neural network architecture.
PyData
AI for Crisis Prediction & Management
This webinar, as part of our AI for Good series, covered the application of AI in the prediction of catastrophic events and natural disasters, whilst also touching on ...
RE•WORK
Biomedical Big Data Revolution | Dr. Stefan Bekiranov | TEDxRVA
Find a cure for cancer from the comfort of your living room while in your PJs. It's more possible today than it was a short time ago. We are currently undergoing a ...
TEDx Talks
Tensorflow Image Classification | Build Your Own Image Classifier In Tensorflow | Edureka
AI and Deep Learning using TensorFlow: https://edureka.co/ai-deep-learning-with-tensorflow *** This Edureka Live video on "Tensorflow Image Classification" ...
edureka!
Scalable Time Series Forecasting and Monitoring using Apache Spark and ElasticSearch at Adyen
Adyen enables integrating companies to accept payments from their customers using any payment method over any sales channel. We have designed and ...
Databricks
The Evolution of Infectious Diseases with Justin Meyer: Lecture 1 - Introduction
UC San Diego professor of biology Justin Meyer, who specializes in infectious disease research presents his course The Evolution of Infectious Diseases with ...
University of California Television (UCTV)
When Predictions Succeed: Crash Course Statistics #44
In our series finale, we're going to take a look at some of the times we've used statistics to gaze into our crystal ball, and actually got it right! We'll talk about how ...
CrashCourse
Crystal Field Theory
This chemistry video tutorial provides a basic introduction into crystal field theory. It explains how to draw the crystal field splitting diagram of transition metal ...
The Organic Chemistry Tutor
Lecture 12: End-to-End Models for Speech Processing
Lecture 12 looks at traditional speech recognition systems and motivation for end-to-end models. Also covered are Connectionist Temporal Classification (CTC) ...
Stanford University School of Engineering
Systems Architecture, Design, Engineering, and Verification
Chair: Dahlia Malkhi Panel: Fernando J. Corbato, E. Allen Emerson, Joseph Sifakis, Ken Thompson Abstract More than any other area in computer science, the ...
Association for Computing Machinery (ACM)
Lec 1 | MIT Finite Element Procedures for Solids and Structures, Linear Analysis
Lecture 1: Some basic concepts of engineering analysis Instructor: Klaus-Jürgen Bathe View the complete course: http://ocw.mit.edu/RES2-002S10 License: ...
MIT OpenCourseWare
The Science Behind Weather Forecasting: Part 1
We've probably all watched the local TV weatherperson and wondered just what they do to create the forecast they give us. What equipment do they use?
HEC Media
7. Solutions of Nonlinear Equations; Newton-Raphson Method
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/10-34F15 Instructor: James Swan This ...
MIT OpenCourseWare
How To Make $1 Billion On Horse Racing
Bill Benter is the most successful gambler you've never heard of. After being banned from Vegas for beating the house at Blackjack, he turned to Hong Kong ...
Bloomberg QuickTake Originals
Managing Data in Microservices
Download the slides & audio at InfoQ: http://bit.ly/2wVAkdN Randy Shoup shares proven patterns that have been successful at Google, eBay, and Stitch Fix.
InfoQ
TensorFlow 2.0 Tutorial for Beginners 19 - Multi Step Prediction using LSTM | Time Series Prediction
New ML Courses Announcement on Udemy ================================= NLP with BERT - Fine Tune & Deploy ML Model in Production Build ...
KGP Talkie
Game Theory: Forecasting human behaviour | The Economist
Software programs based on game theory are being used to predict political outcomes and track down terrorists Subscribe NOW to The Economist: ...
The Economist
Bose-Einstein Statistics
Physics of Materials by Dr. Prathap Haridoss,Department of Metallurgical & Materials Engineering,IIT Madras. For more details on NPTEL visit ...
nptelhrd
Nonlinear Dynamics: Prediction
These are videos from the Nonlinear Dynamics course offered on Complexity Explorer (complexity explorer.org) taught by Prof. Liz Bradley. These videos ...
Complexity Explorer
Delving into Artificial Intelligence | Riccardo Zecchina | TEDxBocconiU
Artificial Intelligence is everywhere, and as we advance in time we may become more comfortable with it - or we may not! How much can and should Artificial ...
TEDx Talks
