Search result for Mathematical learning Online Courses & Certifications
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The Machine Learning Certification Course
by Marufa Yasmin- 3.1
38 mins on-demand video
Learn and understand Machine Learning using this course. Introductory Machine Learning course covering theory & algorithms. This is an introductory course in machine learning (ML) that covers the basic theory and algorithms . This course balances theory and practice, and covers the mathematical as well as the heuristic aspects....
$12.99
Probability: Basic Concepts & Discrete Random Variables
by Mark D. Ward- 0.0
6 Weeks
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. Or want better to understand statistical theory and mathematical modeling? To continue learning about probability, enroll in Probability: Distribution Models & Continuous Random Variables, which covers continuous distribution models, central limit theorem and more....
$49
Analysis of Transport Phenomena I: Mathematical Methods
by Martin Bazant- 0.0
17 Weeks
Graduate-level introduction to mathematical modeling of diffusion, convection, and chemical reactions. This online course is suitable for anyone interested in learning the principles of continuum modeling. The modeling concepts and mathematical methods you learn in this course will advance your career in industry or academics....
$149
Introduction to Actuarial Science
by Adam Butt- 0.0
8 Weeks
You’ll experience “hands-on” learning using Excel (or an equivalent spreadsheet tool) to project and investigate the financial condition of a company choosing appropriate strategies for the company through the use of simulations. The course has been carefully designed for students from a wide variety of backgrounds, with secondary/high school level being the only assumption of mathematical background....
$49
Classical Machine Learning for Financial Engineering
by Ken Perry- 0.0
7 Weeks
Learn a systemic approach to utilizing classical machine learning models and techniques to gain insights from data sets, and master the tools used in this task. Classical Machine Learning refers to well established techniques by which one makes inferences from data. Our belief is that Machine Learning is an experimental process and thus, most learning will be achieved by “doing”....
$799
Matrix Methods
by Daniel Boley- 4.1
Approx. 7 hours to complete
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Matrices as Mathematical Objects Matrix as Mathematical Objects...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Perceptron Learning Algorithm (PLA) 第三講:Types of Learning Learning with Different Output Space...
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Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
8 Weeks
Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Her research applies convex optimization techniques to a variety of non-convex applications, including sigmoidal programming, biconvex optimization, and structured reinforcement learning problems, with applications to political science, biology, and operations research....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
8 Weeks
Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Her research applies convex optimization techniques to a variety of non-convex applications, including sigmoidal programming, biconvex optimization, and structured reinforcement learning problems, with applications to political science, biology, and operations research....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. Week 1: Supervised Learning & Regression Introduction to Supervised Learning Recap: Mathematical Notation Review: Supervised Learning Supervised Learning & Regression...