Search result for Examples of asynchronous learning Online Courses & Certifications
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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
Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. At the end of this course, you will master the various machine learning techniques in investment management. Machine learning techniques for robust estimation of factor models References for module 2"Machine learning techniques for robust estimation of factor models"...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
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Approx. 14 hours to complete
- Greenlight ML: Forecast the effectiveness of a machine learning project and then internally sell it, gaining buy-in from your colleagues. MODULE 1 - Business Applications of Machine Learning Five colorful examples of behavioral data for workforce analytics Five colorful examples of behavioral data for workforce analytics Machine learning for social good - more examples (optional)...
JavaScript Promises: The Complete Guide
by Viktor Pyskunov- 4.8
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1.5 hours on-demand video
This course was specifically designed for those who are learning Promises from scratch or improving their skills in using Promises. JavaScript is asynchronous by its nature. Especially if you need to handle multiple asynchronous operations in your code. Also, you will be able to work with different kinds of asynchronous JavaScript operations using Promises....
$11.99
Foundations of Teaching for Learning: Planning for Teaching and Learning
by Dr Judy Halbert , Dr Linda Kaser , Professor John MacBeath- 4.8
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Approx. 12 hours to complete
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. Copy of Lecture 1: Introduction to mindsets for Teaching and Learning Lecture 3: Spirals of Inquiry: Developing a Hunch and New Professional Learning...
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 2-3 Exhausting the Version Space: Definition, Theorem ,Proof and some examples 2-5 Some examples and discussion about VC dimension...
Application of AI, InsurTech, and Real Estate Technology
by Christopher Geczy- 4.6
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Approx. 4 hours to complete
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Classifications of InsurTech Companies Investment & Market Size of the InsurTech Industry Size of the Global Real Estate Tech Market Commercial Real Estate Tech Examples Background of AI...
Introduction to Artificial Intelligence (AI)
by Rav Ahuja- 4.7
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Approx. 9 hours to complete
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. Applications and Examples of AI Impact and Examples of AI Some Applications of AI Optional: More Applications of AI Applications and Examples of AI...
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Instructional Methods in Health Professions Education
by Caren Stalburg, MD, MA- 4.7
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Approx. 21 hours to complete
This course provides those involved in educating members of the health professions an asynchronous, interdisciplinary, and interactive way to obtain, expand, and improve their teaching skills. These skills can then be applied within their own professional context, with a variety of learners, extending across many stages. Keep Learning with Michigan Online!...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. TD Learning Q Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...
Understand asynchronous programming with .Net and C#
by Timo H. | C# Development | .Net | DevOps- 3.8
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3.5 hours on-demand video
If you had any of those or similar issues with asynchronous programming, this course will help you solve those issues. In this course you will also see examples to every of the above topics and this will guide you to become a master of asynchronous programming techniques with . Master one of the most needed skills of contemporary programming...
$11.99
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