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Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance....
Introduction to Applied Machine Learning
by Anna Koop- 4.7
Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. Introduction to Course 1 Reinforcement Learning...
Managerial Accounting: Cost Behaviors, Systems, and Analysis
by Gary Hecht, Ph.D.- 4.7
Approx. 20 hours to complete
This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Course Overview and Introduction to Managerial Accounting Welcome and Course Overview Learning Objectives and What is Managerial Accounting Learning Objectives and Terminology Learn More About Flexible Learning Paths Learning Objectives and Flow of Costs Through Financial Statements...
Learning, Knowledge, and Human Development
by Dr William Cope , Dr Mary Kalantzis- 4.5
Approx. 9 hours to complete
This course sets out to provide an understanding of theories of learning and development and how these theories relate to educational technology. This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois....
Machine Learning for Healthcare
by David Sontag , Peter Szolovits , Zachary Strasser , Hagai Rossman- 0.0
15 Weeks
The course begins with an introduction to clinical care and data, and then explores the use of machine learning for risk stratification and diagnosis, disease progression modeling, improving clinical workflows, and precision medicine. Guest lectures by clinicians and course programming projects with real clinical data emphasize subtleties of working with clinical data and translating machine learning into clinical practice....
$49
Artificial Intelligence Projects with Python-HandsOn: 2-in-1
by Packt Publishing- 3.6
4 hours on-demand video
This comprehensive 2-in-1 course is designed to teach you the fundamentals of deep learning and use them to build intelligent systems. The last project introduces reinforcement learning and deep reinforcement learning wherein you will use OpenAI Gym platform and Q-learning algorithm to build a game-playing AI....
$9.99
Random Models, Nested and Split-plot Designs
by Douglas C. Montgomery- 4.6
Approx. 9 hours to complete
This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. The course also covers experiments with nested factors, and experiments with hard-to-change factors that require split-plot designs. Course Description Course Textbook and Resources Best Practices in Online Learning (or How to Succeed in This Class)...
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Communication Skills for University Success
by Katherine Olston , Lydia Dutcher- 4.8
Approx. 27 hours to complete
The course equips you for full participation and engagement with your studies by building awareness and understanding of the core values and expectations of academic culture, and providing you with practical strategies to apply to your studies. Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes...
CS50's Introduction to Artificial Intelligence with Python
by David J. Malan , Brian Yu- 0.0
7 Weeks
Learn to use machine learning in Python in this introductory course on artificial intelligence. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. reinforcement learning...
$199
Information & Digital Literacy for University Success
by Katherine Olston- 4.9
Approx. 37 hours to complete
The course equips you for full participation and engagement with your studies by building awareness and understanding of the core values and expectations of academic culture, and providing you with practical strategies to apply to your studies. 1 Learning Outcomes 2 Learning Outcomes 3 Learning Outcomes 4 Learning Outcomes 1 Learning Outcomes...