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Practical Machine Learning on H2O
Description In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We…
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Launching into Machine Learning
Description Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of…
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Google Cloud Platform Big Data and Machine Learning Fundamentals
Description This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose…
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Description This course will teach you the “magic” of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: – Understand industry best-practices for…
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Structuring Machine Learning Projects
Description You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and…
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Foundations of Teaching for Learning Capstone: The Reflective Practitioner
Description This course is open to learners who have completed all eight courses on the Foundations of Teaching for Learning MOOC. It revisits topics covered and focuses on what it really means to be a reflective practitioner. One of the great paradoxes of learning is that the more you know the more you become aware…
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Getting Started with AWS Machine Learning
Description Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI…
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Dynamic Programming: Applications In Machine Learning and Genomics
Description If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other? In the first part of the course, part of the Algorithms and Data Structures MicroMasters program, we will see how…
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Designing and Leading Learning Systems
Description Pursuing goals for ambitious teaching and learning requires that students, teachers, and educational leaders learn to work together in new ways. This course engages learners in exploring four leading logics of educational innovation: strategies and approaches to producing and using knowledge to improve educational practice and outcomes at scale, across many classrooms, schools, and…
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Leading Ambitious Teaching and Learning
Description Want to explore ambitious teaching and how collaboration between students and teachers can lead to deeper learning and the development of 21st-century skills? This course is developed in partnership with Microsoft as part of the Microsoft K-12 Education Leadership initiative, which aims to help K-12 school leaders drive the pursuit of ambitious instruction in…
