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Ebola: Essential Knowledge for Health Professionals
by Martin P. Grobusch , Joyce L. Browne- 4.6
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Approx. 17 hours to complete
Although the disease seems to be on a decrease, we are not there yet and new outbreaks will surely emerge. This is why we developed this online course about Ebola, targeted at health professionals across the world. About the course Course syllabus Useful links and case reports on supportive care...
Quantum Machine Learning
by Peter Wittek- 0.0
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9 Weeks
Machine learning is a good candidate. In this course we will introduce several quantum machine learning algorithms and implement them in Python. 3) Describe and implement classical-quantum hybrid learning algorithms. Experiment with unusual kernel functions on quantum computers4) Demonstrate coherent quantum machine learning protocols and estimate their resources requirements. · Implement learning algorithms on quantum computers in Python...
$49
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers. This course also introduces learners to technical concepts such as structured and unstructured data....
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. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. Perceptron Learning Algorithm (PLA) 第三講：Types of Learning Learning with Different Output Space...
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
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Approx. 33 hours to complete
They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. We will also see applications of Bayesian methods to deep learning and how to generate new images with it. Rules on the academic integrity in the course Learning with priors GP for machine learning...
Teaching Impacts of Technology: Fundamentals
by Beth Simon- 4.9
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Approx. 11 hours to complete
In this course you’ll focus on the fundamentals of teaching the impacts of technology, starting by exploring how you interact with and benefit from technology in a typical 24 hour period, such as the desire for instant food and entertainment. Course Orientation Learning Design Review: What Structures Do We Use To Support Your Learning?...
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Recommender Systems and Deep Learning in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques So I assure you, what you’re about to learn in this course is very real, very applicable, and will have a huge impact on your business. This course is not "officially" part of my deep learning series....
$18.99
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
MOOC: How to make a MOOC?
by Olga Echevskaya , Liliya Styazhkina , Yakov Somov , Anastasia Gribanovskaya , Katerina Andreevskaya , Margarita Shirinyan , Vladimir Porhunov , Irina Sokolova , Anastasia Zulina , Nikita Kolesov , Stepa Semenov- 4.4
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Approx. 10 hours to complete
This course made by Novosibirsk State University and Lektorium, one of the largest MOOC publisher in Russia, covers the process of creating modern online courses. You’ll learn basic trends in online education and find out which stages are included in developing an online course, and what is important on each stage of course development....
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