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Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
Just one of the four experiments generates thousands gigabytes per second. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. Physics as a Game of Theories...
Media ethics & governance
by Rutger de Graaf , Damian Trilling , Lotte Salome , Sandra Jacobs , Annemarie van Oosten- 4.8
Approx. 9 hours to complete
About this course: This course explores some of the basic theories, models and concepts in the field of media ethics. We will introduce influential ethical theories and perspectives, explore changing societal demands and expectations of media creation and media use, and we will elaborate on existing ethical norms for media professionals....
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. TD Learning Q Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...
Leaders of Learning
by Richard Elmore- 0.0
10 Weeks
Explore and understand your own theories of learning and leadership. Gain the tools to imagine and build the future of learning. All of us carry explicit or implicit theories of learning. How to define your personal theory of learning How an organization's structure reflects its theories of learning How neuroscience will affect the future of learning...
$139
Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
Approx. 9 hours to complete
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation. Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Operationalizing Machine Learning Models: Exam Guide Review Operationalizing Machine Learning Models...
Fundamentals of Reinforcement Learning
by Martha White , Adam White- 4.8
Approx. 15 hours to complete
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. This is the first course of the Reinforcement Learning Specialization....
Assessing Achievement with the ELL in Mind
by Claire McLaughlin , Ellen Manos- 4.5
Approx. 22 hours to complete
You will learn to use and modify rubrics to align to and measure student achievement of your language and content learning objectives. * Conceptualize theories of authentic assessment as they apply to second language learners Classroom Examples of Authentic Assessment Examples of Plenary Activities Bonus Reading: Examples of Formative Assessment Classroom Application: Examples of Project Based Assessment...
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Resilient Teaching Through Times of Crisis and Change
by Rebecca Quintana, PhD- 4.8
Approx. 20 hours to complete
This teaching ability can be seen as an outcome of a design approach that attends to the relationship between learning goals and activities, and the environments they are situated in. Resilient teaching approaches take into account how a dynamic learning context may require new forms of interactions between teachers, students, content, and tools....
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
Approx. 9 hours to complete
The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms. Learning from a Case Examples of alternative consensus protocols: Proof-of-stake...
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
Approx. 18 hours to complete
Do you need a deeper understanding of the core ways in which machine learning can improve your business? Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. Other examples of clustering Other examples of deep learning in computer vision...