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Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. You will learn about feature construction techniques for RL, and representation learning via neural networks and backprop. Read Me: Pre-requisites and Learning Objectives...
How Google does Machine Learning
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
What is machine learning, and what kinds of problems can it solve? We end with a recognition of the biases that machine learning can amplify and how to recognize this. Google Translate and Gmail Machine Learning and Human Bias Gain a broad perspective of machine learning and where it can be used...
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
Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. Machine Learning and Other Fields Perceptron Learning Algorithm (PLA)...
API Design and Fundamentals of Google Cloud's Apigee API Platform
by Google Cloud Training- 4.7
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Approx. 8 hours to complete
In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. Explore and put into practice API design, development and management concepts....
Foundations of Teaching for Learning: Being a Teacher
by Professor Dennis Francis , Professor John MacBeath- 4.6
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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. This course provides an opportunity for you to reflect on your personal and professional development as a teacher....
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. Supervised Learning and Regression Welcome to Introduction to Trading, Machine Learning and GCP AI and Machine Learning Introduction to Neural Networks and Deep Learning...
Teaching Science at University
by Sara Taner , Kai Niebert , Sara Petchey- 4.5
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Approx. 13 hours to complete
This course enables you to teach abstract science topics to your students and make them become active and successful learners. The course is based on lectures (videos), handouts (knowledge-to practice briefs), which supplement the knowledge taught in the lectures and assignments to implement the teaching strategies into your own practice. Introduction: Teaching and Learning Science...
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Supply Chain Management: A Learning Perspective
by Bowon Kim- 4.7
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Approx. 18 hours to complete
This morning you got up and ate your breakfast, e. As our course title hints, we approach all of these issues from a learning perspective, which is dynamic in nature and emphasizes long-term capability building rather than short-term symptomatic problem solving. Single-loop and Double-loop Learning Bullwhip Effect and Information Quality Supply Chain Globalization and Sustainability...
Creativity And Entrepreneurship
by Panos Panay- 4.7
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Approx. 8 hours to complete
How This Course Works Earn a Certificate for this Course Learning To Observe Creation: Product Development Collaboration and Presentation Selling and Marketing This course will help you identify the unique elements of artist identity and provide you with the practical business know-how you’ll need to build a fanbase and successfully run a crowdfunding campaign....
Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
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Approx. 9 hours to complete
This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. Welcome to Practical Machine Learning Week 4: Regularized Regression and Combining Predictors...
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