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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...
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. Lecture 3: Learning Models Lecture 4: Inquiry and Professional Learning Designs Copy of Lecture 1: Introduction to mindsets for Teaching and Learning...
Severe to Profound Intellectual Disability: Circles of Care and Education
by Judith McKenzie- 4.7
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Approx. 14 hours to complete
Understanding learning in intellectual disability Facilitating learning as a caregiver Lifelong learning Lifelong learning How learning takes place Attitudes to learning Facilitating learning Learning context TEDI Research: Lifelong learning Learning for the child with severe to profound intellectual disability Factors to consider for learning Week 2: Lifelong learning Facilitating learning Developing a learning programme...
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 3-2 Learning Decision Tree, Information Neural Network and Deep learning 4-2 Single-Layer Network and Perceptron Learning Rule Reinforcement learning...
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Week 2: Train, Debug, and Profile a Machine Learning Model...
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
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Transgender Medicine for General Medical Providers
by Joshua D Safer, MD- 4.8
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Approx. 7 hours to complete
Learning Objectives for Module 1 Learning Objectives for Module 2 Learning Objectives for Module 3 Learning Objectives for Module 4 Learning Objectives for Module 5 Learning Objectives for Module 6 Learning Objectives for Module 7 Learning Objectives for Module 8 Learning Objectives for Module 9 Learning Objectives for Module 10...
Constructivism and Mathematics, Science, and Technology Education
by David E. Brown- 4.7
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Approx. 10 hours to complete
This course is designed to help participants examine the implications of constructivism for learning and teaching in science, mathematics, and technology focused areas. Learning Environments Focused on Students' Ideas Learning Environments to Hep Students' Ideas Develop Constructivist Learning Environments More Constructivist Learning Environments Module 4: Implementing Constructivist Learning Environments...
Knowledge-Based AI: Cognitive Systems
by Ashok Goel , David Joyner- 0.0
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Approx. 7 weeks
At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition....
Free
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