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Advanced Portfolio Construction and Analysis with Python
by Lionel Martellini, PhD , Vijay Vaidyanathan, PhD- 4.8
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Approx. 11 hours to complete
The practice of investment management has been transformed in recent years by computational methods. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. Style & Factors Welcome video...
Protecting Business Innovations via Trademark
by Theodore Henry King CLARK- 4.8
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Approx. 10 hours to complete
Protecting Business Innovations Via Trademark Watch Course Overview: https://youtu. be/mUja4iwbrTE Intellectual property rights (IPR) has a great impact on innovation development and society. In Science, Engineering, and Business, we seek to create wealth through innovation in products, designs, manufacturing processes, and business systems or models. Introduction to Trademark Welcome to Protecting Business Innovations!...
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
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Approx. 38 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....
Approximation Algorithms Part I
by Claire Mathieu- 4.8
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Approx. 36 hours to complete
Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. The course content and in particular the homework is of a theoretical nature without any programming assignments....
System Validation (2): Model process behaviour
by Jan Friso Groote- 0.0
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Approx. 5 hours to complete
It is the next logical step in computer science and improving software development in general....
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions....
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
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Approx. 15 hours to complete
Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”....
Introduction and Programming with IoT Boards
by James Won-Ki HONG- 4.6
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Approx. 7 hours to complete
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications....
Converter Circuits
by Dr. Robert Erickson- 4.8
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Approx. 19 hours to complete
This course can also be taken for academic credit as ECEA 5701, part of CU Boulder’s Master of Science in Electrical Engineering degree....
Electrodynamics: Electric and Magnetic Fields
by Seungbum Hong- 4.8
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Approx. 12 hours to complete
This course is a continuation of Electrodynamics: An Introduction and Electrodynamics: Analysis of Electric Fields. Here, we will introduce magnetostatics and relate it to the material we learned previously. In addition, we will cover the basics of the electromotive force and how it can be used to build different devices. Learners will...
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