Search result for Learning methods Online Courses & Certifications
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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...
Train the Trainer: Training Delivery Certificate
by Andrew Cumiskey- 0.0
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5
Principles of learningMaximising learning and inclusive teachingDelivering training in the classroom or remotelyProviding feedbackAssessment methods and principles...
$69
Training and Learning Programs for Volunteer Community Health Workers
by William Brieger, DrPH- 4.7
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Approx. 16 hours to complete
Lecture 5A: A Variety of Methods Lecture 5B: Sample Methods for Learning about Educating Villagers Lecture 5C: Sample Methods for Learning about a Census Lecture 6B: Matching Materials with Methods...
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others. â—‹ Techniques for supervised learning including classification and regression. â—‹ Algorithms for unsupervised learning including feature extraction. â—‹ Statistical methods for interpreting models generated by learning algorithms....
$1000
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with Cursor Like Methods Stages: Part 1 Cursor Like Methods Stages: Part 2 Cursor Like Methods Machine Learning with MongoDB Intro: Associative Role Learning Intro: Associative Role Learning...
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. Overview of statistical learning Resampling methods Tree-based methods Unsupervised learning...
$149
Creating a Personalized Learning Environment in the Classroom
by Jamie Haig Marr Costley , Maxim Bulanov- 0.0
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Approx. 15 hours to complete
The course provides an overview of current pedagogical, psychological and philosophical theories and approaches, accompanied by a large practical block on the design of personalized learning environment in the classroom. - gradually implement methods of personalised learning in their work Theoretical bases and principles to create personalized learning environment in the classroom...
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Service-Learning Pedagogy and Practice
by Grace Ngai- 0.0
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4 Weeks
In this course, we have incorporated up-to-date theory, multimedia, and peer-to-peer interaction to bring our own expertise together with the benefits of collaborative learning to create an engaging instructional environment. • Explore strategies and methods to facilitate student reflecions; and • Design effective assessments of student learning in service-learning....
$99
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
Mathematics & Statistics of Machine Learning & Data Science
by Cinnamon TechX- 4.2
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11 hours on-demand video
Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning Shallow learning refers to machine learning methods that plateau at a certain level of performance when you add more examples and training data to the network. WHY IS MACHINE LEARNING SO SUCCESSFUL? Mathematics and Statistics behind Machine Learning...
$12.99
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