Search result for Definition of asynchronous learning Online Courses & Certifications
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Foundations of Virtual Instruction
by Cindy Carbajal- 4.4
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Approx. 13 hours to complete
Welcome to Foundations of Virtual Instruction! This course will help you 'up' your game and develop the advanced skills and techniques that elude even some of the most experienced virtual teachers in the K-12 space. • Use a variety of online tools to provide feedback and personalize the learning experience. History of Online Learning Growth of Online Learning...
Emerging Trends & Technologies in the Virtual K-12 Classroom
by Racquel Stephens- 4.6
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Approx. 7 hours to complete
We will discuss the possibilities and challenges of using technology in fully online environments, although many of the ideas can be applied to blended and traditional environments as well. Lastly, please note that many of the examples will be U. Common Features of Learning Management Systems Overview of Learning Management Systems (LMS)...
Blended Learning: Personalizing Education for Students
by Brian Greenberg , Rob Schwartz , Michael Horn- 4.8
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Approx. 9 hours to complete
Plenty of buzz exists about blended learning and its transformational potential. Become a part of this growing movement and learn first-hand how blended learning can help provide students a more personalized learning experience. Definition of Blended Learning Survey of Blended Learning Models Moves of the Blended Learning Teacher I Moves of the Blended Learning Teacher II...
Blended Language Learning: Design and Practice for Teachers
by Edwige SimonTop Instructor- 4.8
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Approx. 21 hours to complete
In the first module we are going to discuss the origins and effectiveness of the blended learning model. In the fourth module, we're going to turn our attention to the teaching aspect of the blended learning experience. Upon completion of this course, students will be able to: Benefits and Challenges of Synchronous and Asynchronous Speaking Activities...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
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Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Applications of Machine Learning Components of Machine Learning 第三講：Types of Learning 第四講：Feasibility of Learning Definition of VC Dimension...
Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 1 - Learning Outcomes, Definition of Big Data...
Secure and Private AI
by Andrew Trask- 0.0
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Approx. 2 months
Solving these problems using AI means having access to a large amount of private and sensitive data. If you're using traditional Deep Learning tools, this means persuading someone to send you a copy of a sensitive dataset....
Free
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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
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. The Three Kinds of Machine Learning Exploring the process of problem definition...
Fundamentals of Reinforcement Learning
by Martha White , Adam White- 4.8
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Approx. 15 hours to complete
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. This is the first course of the Reinforcement Learning Specialization....
