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Teaching for Home Learning: Primary Science
by Karen Hornby , Matt Cornock- 0.0
2
Planning a remote learning activity Activities for home learning and scientific enquiry Enabling parents to support learning Tools for remote learning...
Free
Teaching Practical Science: Physics
by Adam Little , Tom Lyons- 0.0
3
Learning with context Progression of learning through physics practical work Progression of learning Linking for learning Assessment of learning through practical work Changing barriers into learning opportunities...
Free
Clinical Supervision: Teaching and Facilitating Learning
by Veena Rodrigues- 0.0
3
Create a conducive learning environment and facilitate effective learning with this online course for clinical supervisors. The learning environment Planning learning opportunities Assessing learning needs of trainees/learners Assessment of learning needs Facilitating self-directed learning...
Free
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
by Dr William Cope , Dr Mary Kalantzis- 4.6
Approx. 19 hours to complete
Ubiquitous Learning Ubiquitous Learning, Part 1A: Learning in Space and Time Learning and New Media (Readings) Spatio-Temporal Dimensions of Learning Active Knowledge Making, Part 2C: Memory Work in Learning Epistemic Dimensions of Learning Discursive Dimensions of Learning Collaborative Intelligence, Part 5A: Social Learning Collaborative Intelligence, Part 5B: Collaborative Learning Dynamics Evaluative Dimensions of Learning...
Learning Mindsets & Skills
by Patrick E. Yurick , John Bosselman , Ben Daley , Judy Wu- 3.9
Approx. 4 hours to complete
The Learning Mindsets & Skills MOOC is designed to explore underlying concepts behind Learning Mindsets & Skills as well as the the practical applications of those concepts in various educational environments. Course Participants will hypothesize a learning mindset-related change to be implemented within their educational environment, test their theory, and present their findings to a wider audience....
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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. Deep Learning Transfer Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Designing Learning Innovation
by Federica Brambilla , Daniela Casiraghi , Susanna Sancassani- 0.0
Approx. 24 hours to complete
The MOOC is realized in a strongly integrated way with the book "Designing Learning Innovation" that will soon be published by Pearson (the english version will be the translation of the italian one already published). The Learning Innovation Network: active classroom The Learning Innovation Network Infographic - the Learning Innovation Network...
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Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
Supervised Machine Learning methods are used in the capstone project to predict bank closures. Machine Learning as a Foundation of Artificial Intelligence, Part I Machine Learning as a Foundation of Artificial Intelligence, Part II Machine Learning as a Foundation of Artificial Intelligence, Part III Machine Learning in Finance vs Machine Learning in Tech, Part I...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
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. Perceptron Learning Algorithm (PLA) 第三講:Types of Learning Learning with Different Output Space...
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. Learn important approaches for leveraging data to train, validate, and test machine learning models....