Model checking

Model Theory - part 01 - The Setup in Classical Set Valued Model Theory

Here we give the basic setup for Model Theory. I learned this from a talk Tom Scanlon gave in 2010 at CUNY.

From playlist Model Theory

Managing Requirements Based Testing Process with Testing Dashboard

For rigorous processes such as ISO 26262, it is challenging to manage the many activities and artifacts such as requirements, design, test cases, and test results and determine when testing is complete. The Model Testing Dashboard collects metric data from the model design and testing arti

From playlist Tips and Tricks from MATLAB and Simulink Developers

What is Math Modeling? Video Series Part 6: Analysis

By the time you’ve reached the analysis step of the math modeling process, you’ve built a mathematical model -congratulations! Now it’s time to analyze and assess the quality of the model. In this step and number six in this seven-part series, modelers take an honest look at the body of wo

From playlist M3 Challenge

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

(ML 12.5) Cross-validation (part 1)

Description of K-fold cross-validation (CV), leave-one-out cross-validation (LOOCV), and random subsamples, for model selection.

From playlist Machine Learning

Introduction to Classification Models

Ever wonder what classification models do? In this quick introduction, we talk about what classifications models are, as well as what they are used for in machine learning. In machine learning there are many different types of models, all with different types of outcomes. When it comes t

From playlist Introduction to Machine Learning

Towards a Model-Based Approach | Systems Engineering, Part 2

See all the videos in this playlist: https://www.youtube.com/playlist?list=PLn8PRpmsu08owzDpgnQr7vo2O-FUQm_fL The role of systems engineering is to help find and maintain a balance between the stakeholder needs, the management needs, and the engineering needs of a project. So we can thin

From playlist Systems Engineering

Model Theory - part 03 - Terms, Formulas, Sequents

He we are a little bit more precise about keeping track of what fragments of formal languages we are using. This becomes relevant when you want to interpret them later. Caramello's book was useful in preparing this. We also found the post on nCatLab useful.

From playlist Model Theory

What is Math Modeling? Video Series Part 4: Defining Variables

Mathematical modeling uses math to represent, analyze, make predictions, or otherwise provide insight into real world phenomena. After defining the problem statement and making assumptions, defining variables tells modelers exactly the units they are looking for. This creates the basis for

From playlist M3 Challenge

16b Data Analytics: Model Checking

Spatial, subsurface model checking including statistical inputs, and accuracy of estimates and uncertainty model.

From playlist Data Analytics and Geostatistics

Selecting the BEST Regression Model (Part D)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

Full Tutorial Box Cox Transformation in R | Apply Logarithm in Linear Regression | Machine Learning

How to apply Box Cox and Why? How to implement logarithm transformation in the data? How to improve my model? -. Learn how to fit a multiple linear regression -. How to create graphs with R -. How to check the model assumptions -. Apply Box Cox Transformation -. Read and understand linear

From playlist Regression with R

Discover how Easystats in R can improve your linear and regression model analysis | Tutorial Data

Revolutionize your data analysis game with Easystats - the library that makes linear and regression model analysis a breeze!!! #R #rstudio #datascience #regression Comprehensive visualization of model checks checking model assumptions comparing models with plots model performances and co

From playlist Regression with R

How to Validate your Model & Data and Easily Avoid Common ML Pitfalls

Building good and stable ML models is hard. The wide variety of challenges in the process includes biases when building or splitting the datasets, data leakages, data quality, and integrity issues, drifts, model performance stability, and many more. In this session we’ll explore these typ

From playlist Fundamentals of Machine Learning

Master Class Unifying Model and Code Verification Why and How - MATLAB and Simulink Video

Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Verification and validation techniques applied throughout the development process enable you to find errors before they can derail your project. In this session, you’ll learn

From playlist MATLAB and Simulink Conference Talks

Keras Tutorial For Beginners | Deep Learning Models Using Keras | Edureka | Deep Learning Rewind - 5

🔥Edureka Tensorflow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: https://goo.gl/4zxMfU) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case. Chec

From playlist Deep Learning With TensorFlow Videos

Keras Tutorial For Beginners | Creating Deep Learning Models Using Keras In Python | Edureka

** AI & Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: https://goo.gl/4zxMfU) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case! W

From playlist Deep Learning With TensorFlow Videos

Logic 3 - Propositional Logic Semantics | Stanford CS221: AI (Autumn 2021)

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor

From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021

What is Math Modeling? Video Series Part 7: Reporting the Results

It’s exciting to see the results of a successful model that predicts, analyzes, and otherwise provides insight into real world phenomena. Once modelers have built and fully assessed the quality of the model, it’s time to tell the world what you’ve found! This episode, the final in this sev

From playlist M3 Challenge

Mod-15 Lec-37 Tutorial - II

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics