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Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. ) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. Example of Word Embeddings Example of Reinforcement Learning in Practice...
Hypothesis-Driven Development
by Alex Cowan- 4.7
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Approx. 10 hours to complete
This is easier said than done, but most of today’s high-functioning innovators have a strong culture of experimentation. This course is supported by the Batten Institute at UVA’s Darden School of Business. Example Personas and Problem Scenarios The Practice of Time Boxing Overview of the Persona and Problem Sprint How Do I Sell the Idea of a Design Sprint...
Management Skills for International Business
by David James- 4.7
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Approx. 18 hours to complete
This course focuses on a range of management techniques. This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. Case Study: The Effectiveness of Operational Managers | Example 1...
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. Applications of ML in the Real World Game: The importance of good data Course Recap + Preview of next course...
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
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Approx. 17 hours to complete
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. By the end of this course you will be able to....
Digital Systems: From Logic Gates to Processors
by Elena Valderrama , Jean-Pierre Deschamps , Lluis Terés , Merce Rullan , Joaquín Saiz Alcaine , David Bañeres , Juan Antonio Martínez- 4.4
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Approx. 29 hours to complete
This course gives you a complete insight into the modern design of digital systems fundamentals from an eminently practical point of view. Course topics are complemented with the design of a simple processor, introduced as a transversal example of a complex digital system. All you need to know to start the course 5 An example of synthesis...
Black-box and White-box Testing
by Mike , Kevin Wendt- 0.0
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Approx. 26 hours to complete
After completing this course, learners will have an understanding of a variety of black-box and white-box testing techniques. - evaluate testability of requirements This course is primarily aimed at those learners interested in any of the following roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast....
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Corporate Finance II: Financing Investments and Managing Risk
by Heitor Almeida- 4.8
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Approx. 20 hours to complete
In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. Course Orientation Syllabus...
Data Analysis and Presentation Skills: the PwC Approach Final Project
by Alex Mannella- 4.8
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Approx. 11 hours to complete
Course Overview and Syllabus Week 2 - Overview of the second assignment Creating a visual representation of your analysis results Week 3 - Overview of the third assignment Week 3: Creating a visual representation of your analysis results Week 4 - Overview of the fourth assignment Week 5 - Overview of the fifth assignment...
Creativity Toolkit II: Creative Collaboration
by Jeffrey Loewenstein , Jack Goncalo- 4.7
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Approx. 20 hours to complete
This course is designed to make you a better creative collaborator. Course Orientation Syllabus 1 In the Eye of the Beholder 1 Indicators of Creativity Module 3: The Allure of Team Creativity 1 Course Wrap-up...
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