Search result for What is asynchronous learning Online Courses & Certifications
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Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Use Automated Machine Learning in Azure Machine Learning What is Regression? What is Classification? What is Clustering?...
Supply Chain Management: A Learning Perspective
by Bowon Kim- 4.7
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Approx. 18 hours to complete
A supply chain is essentially a value chain. We try to answer questions like how the product or service is made, how the value-creating activities or functions are coordinated, who should play what leadership roles in realizing all these, and so on. What is Supply Chain Management What is Value Chain...
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. What is Machine Learning Perceptron Learning Algorithm (PLA) Learning is Impossible?...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
AI is not only for engineers. - What it feels like to build machine learning and data science projects What is AI? Machine Learning What is data? What makes an AI company? What machine learning can and cannot do More examples of what machine learning can and cannot do Non-technical explanation of deep learning (Part 1, optional)...
Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. What Does Good Data look like? What is Unsupervised Learning...
Blended Language Learning: Design and Practice for Teachers
by Edwige SimonTop Instructor- 4.8
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Approx. 21 hours to complete
This course is for language educators who wish to learn how to build and teach a blended language course. At the end of the course, you have the option to put what you have learned into practice through an optional peer-reviewed assignment (Honors lesson). Explain blended learning as a teaching modality and discuss its effectiveness What is Blended Learning?...
JavaScript Promises: The Complete Guide
by Viktor Pyskunov- 4.8
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1.5 hours on-demand video
My main goal is to help you understand how Promises in JavaScript work and become an expert in this topic. 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
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Foundations of Teaching for Learning: Introduction
by Professor John MacBeath- 4.6
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Approx. 8 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. Thinking About Learning Lecture 1: Revisiting Learning Lecture 3: Teaching for Learning Lecture 1: What is a Good School?...
New Learning: Principles and Patterns of Pedagogy
by Dr William Cope , Dr Mary Kalantzis- 4.7
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Approx. 15 hours to complete
Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. Module 2: What is New Learning? What Is New Learning? What Kind of Science Is Education? Module 4: Transformative Education - New Learning...
Sample-based Learning Methods
by Martha White , Adam White- 4.7
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Approx. 22 hours to complete
Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. Reinforcement Learning Textbook Read Me: Pre-requisites and Learning Objectives What is Monte Carlo? What is Temporal Difference (TD) learning? What is Q-learning? What is a Model? What if the model is inaccurate?...
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