Search result for Mathematical models Online Courses & Certifications
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Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
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Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective....
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
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Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective....
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
by Heiner Igel- 4.7
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Approx. 35 hours to complete
The mathematical derivation of the computational algorithm is accompanied by python codes embedded in Jupyter notebooks. In a unique setup you can see how the mathematical equations are transformed to a computer code and the results visualized. The emphasis is on illustrating the fundamental mathematical ingredients of the various numerical methods (e....
Model-Based Automotive Systems Engineering
by Jonas Fredriksson- 0.0
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7 Weeks
This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications. Develop causal and acausal mathematical models of dynamical systems Linearize nonlinear continuous-time models Derive discrete time models by sampling...
$249
Introduction to Discrete Choice Models
by Michel Bierlaire- 0.0
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7 Weeks
The focus of this course is methods for predicting the behavior using mathematical models. The behavioral assumptions associated with disaggregate choice models The derivation of operational models Concrete applications of the estimated models...
$169
Neuronal Dynamics
by Wulfram Gerstner- 0.0
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7 Weeks
The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail. This course gives an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Week 7: Estimating neuron models for coding and decoding...
$139
Mathematical Modeling in the Life Sciences 生物数学建模
by Louis Tao- 0.0
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10 Weeks
学习使用数学建模的方法并通过定量和定性分析模型更好地理解生物现象。Learn to use mathematical models to gain a better understanding of biological processes through both qualitative and quantitative analysis. In this course, through case studies, we will examine some simplified and idealized mathematical models and their underlying mathematical framework so that we learn how to construct simplified representations of complex biological processes and phenomena....
$49
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Developing the SIR Model
by Nimalan Arinaminpathy- 4.9
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Approx. 21 hours to complete
Compartmental modelling is a cornerstone of mathematical modelling of infectious diseases and this course will introduce some of the basic concepts in building compartmental models, including how to interpret and represent rates, durations and proportions. Construct valid mathematical models capturing the natural history of a given infectious disease Interpret compartmental models in terms of rates, proportions and delays...
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
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Approx. 15 hours to complete
This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. Regression models have many things in common with each other, though the mathematical details differ....
Understanding Regression Techniques
by Najib Mozahem- 4.4
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7 hours on-demand video
An Introduction to Predictive Analytics for Data Scientists Included in this course is an e-book and a set of slides. The purpose of the course is to introduce the students to regression techniques. The course covers linear regression, logistic regression and count model regression. The theory behind each of these three techniques is described in an intuitive and non-mathematical way....
$11.99
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