Continuous modelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility, of attributes). They often use differential equations and are converse to discrete modelling. Modelling is generally broken down into several steps: * Making assumptions about the data: The modeller decides what is influencing the data and what can be safely ignored. * Making equations to fit the assumptions. * Solving the equations. * Verifying the results: Various statistical tests are applied to the data and the model and compared. * If the model passes the verification progress, putting it into practice. * If the model fails the verification progress, altering it and subjecting it again to verification; if it persists in fitting the data more poorly than a competing model, it is abandoned. (Wikipedia).
Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th
From playlist Data Warehousing Tutorial Videos
A solar system, a simulation made with Excel
An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap
From playlist Physics simulations
Linear Modeling using Statsmodels - Video Lecture 11
This module aims to explain as much of the basics of linear modelling as possible. We start with correlation and then learn about linear regression. You can watch the video lecture or read the PDF document. There is an exercise file that you should attempt to complete.
From playlist Data Science @ Stellenbosch University
Fourier Series: Modeling Nature
An intuitive means of understanding the power of Fourier series in modeling nature, to place Fourier series in a physical context for students being introduced to the material. A non-technical, qualitative exploration into applications of Fourier Series. 0:17 Ancient Greek theory of celes
From playlist Data Science
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist 3D Printing
The Mathematics of Population Growth Using Linear Models
Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.
From playlist Discrete Math
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
How to Model Run-Time Software with Simulink
Real-Time Software Modeling helps you implement large-scale real-time systems by defining the components in a composition; simulating and testing them; generating code; and integrating the code into a larger system. This video series covers different modeling styles in Simulinkยฎ for partit
From playlist Run-Time Software Modeling
Tony Lelievre (DDMCS@Turing): Coarse-graining stochastic dynamics
Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp
From playlist Data driven modelling of complex systems
What Is MLOps | Introduction to MLOps | MLOps Tutorial | DevOps Tutorial For Beginners | Edureka
๐ฅEdureka DevOps Training: https://www.edureka.co/devops-certification-training/ This Edureka video explains "what is MLOps" in a simple, comprehensive fashion. MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage produc
From playlist DevOps Training Videos
A comparative analysis between two time-discretized versions of the... by Antonio Gรณmez Corral
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
11b Data Analytics: Variogram Modeling
Lecture on variogram modeling.
From playlist Data Analytics and Geostatistics
DevOps Lifecycle | Introduction To DevOps | DevOps Tools | What is DevOps? | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐จ๐ฌ๐ญ ๐๐ซ๐๐๐ฎ๐๐ญ๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐ฐ๐ข๐ญ๐ก ๐๐ฎ๐ซ๐๐ฎ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ: https://www.edureka.co/executive-programs/purdue-devops This Edureka video on โDevOps Lifecycleโ will discuss various phases that constitute DevOps Lifecycle. This DevOps video will focus on pointers like: 0:57 Why DevOps? 3:30
From playlist DevOps Training Videos
Continuous Pretraining and Delivery of NLP Models to Optimize Sales Engagement | 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/ Sales engagement is a complex process that involves man
From playlist NLP Summit 2020
Robert Lipton: Nonlocal theories for free crack propagation in brittle materials (Lecture 3)
The dynamic fracture of brittle solids is a particularly interesting collective interaction connecting both large and small length scales. Apply enough stress or strain to a sample of brittle material and one eventually snaps bonds at the atomistic scale leading to fracture of the macrosco
From playlist HIM Lectures: Trimester Program "Multiscale Problems"
Arakelov Theory, Equidistribution and Algebraic Dynamics (Lecture 2) by Jose Ignacio Burgos Gil
DISCUSSION MEETING TOPICS IN HODGE THEORY (HYBRID) ORGANIZERS: Indranil Biswas (TIFR, Mumbai, India) and Mahan Mj (TIFR, Mumbai, India) DATE: 20 February 2023 to 25 February 2023 VENUE: Ramanujan Lecture Hall and Online This is a followup discussion meeting on complex and algebraic ge
From playlist Topics in Hodge Theory - 2023
Gussow2018 - Unconventional Reservoir Uncertainty
My talk from Gussow 2018 Conference in Lake Louise, Alberta, Canada. I recorded the talk afterwards, with added references and a little more time to explain all the topics.
From playlist Random Talks
Xingjie Helen Li: "Bending admissible continuum approximation for monolayered 2D materials"
Theory and Computation for 2D Materials "Bending admissible continuum approximation for monolayered 2D materials" Xingjie Helen Li, University of North Carolina Abstract: In this talk, we rigorously derive the Von-Karman continuum plate theory for 2D materials which captures the governin
From playlist Theory and Computation for 2D Materials 2020
Vicky Fasen-Hartmann: Empirical spectral processes for stationary state space models
In this talk, we consider function-indexed normalized weighted integrated periodograms for equidistantly sampled multivariate continuous-time state space models which are multivariate continuous-time ARMA processes. Thereby, the sampling distance is fixed and the driving Lรฉvy process has a
From playlist Probability and Statistics
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