Search result for Applications of complex analysis Online Courses & Certifications
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Problem Solving Using Computational Thinking
by Chris Quintana- 4.6
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Approx. 11 hours to complete
This course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. -To recognize Computational Thinking concepts in practice through a series of real-world case examples Next Case: Potential Applications of Computational Thinking to Human Trafficking...
Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. How to implement a hash table so that the amortized running time of all operations is O(1) on average? Dynamic Arrays and Amortized Analysis Applications of Hashing Applications (Optional) Splay Trees: Analysis...
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Solution Structures of Spatial Data Science Problems Practical Applications of Spatial Data Science...
Advanced Modeling for Discrete Optimization
by Prof. Jimmy Ho Man Lee , Prof. Peter James Stuckey- 4.9
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Approx. 47 hours to complete
Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. End of Course Survey...
Advanced Fluid Mechanics 2: The Navier-Stokes Equations for Viscous Flows
by Gareth McKinley , Bavand Keshavarz , John Liu , Emily Welsh- 0.0
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12 Weeks
This series is designed to help people gain the ability to apply the governing equations, the principles of dimensional analysis and scaling theory to develop physically-based, approximate models of complex fluid physics phenomena. Application of Dimensional analysis to complex problems Analysis of complex viscous flows such as Stokes flows or transient responses...
$99
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
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Approx. 22 hours to complete
Want to make sense of the volumes of data you have collected? Association Analysis Association Analysis in Detail Cluster Analysis in Spark Slides: Cluster Analysis Slides: Association Analysis Description of Minute Weather Dataset Cluster Analysis in Spark PDFs of Cluster Analysis in Spark Hands-On Readings Regression, Cluster Analysis, & Association Analysis...
Instructional Design Foundations and Applications
by Eunjung Grace Oh- 4.1
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Approx. 13 hours to complete
This course, Instructional Design Foundations, introduces learners to the conceptual and theoretical foundations of instructional design as well as the analysis aspect of instructional systems design in order to create an innovative instructional solution to performance problems in organizations. History of Instructional Design, Part I History of Instructional Design, Part II...
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AI in Practice: Applying AI
by Bram van Ginneken , Marleen Huysman , Floris Bex , Sennay Ghebreab- 0.0
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5 Weeks
You will examine typical applications of AI in use already and learn from their experience. ‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization. Understand the implementation aspects of AI and their significance for your own organization....
$249
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
This course will enable you mastering machine-learning approaches in the area of investment management. Financial applications Highlights of best practice References for module 1"Introducing the fundamentals of machine learning" Machine learning techniques for robust estimation of factor models Introduction to module 2 - Basics of factor investing Typology of factor models...
Finance for Non-Finance Professionals
by James Weston- 4.8
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Approx. 14 hours to complete
We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make. Course Overview and Basic Principles of Financial Valuation Discounting...
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