Search result for Examples of asynchronous learning Online Courses & Certifications
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Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
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Approx. 17 hours to complete
You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. CLT (for the mean) examples CI (for the mean) examples Lesson Learning Objectives Lesson Learning Objectives HT (for the mean) examples...
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. The role of data in digital transformation 01: The Value of Data Module 3: Innovation with Machine Learning...
Reactive Programming in Python
by Packt Publishing- 4
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3.5 hours on-demand video
You will begin with the general concepts of Reactive programming and then gradually move on to work with asynchronous data streams. You will understand how ReactiveX works and how it efficiently supports sequences of data. For Packt Publishing, he is the author of the Testing AngularJS video course, and keeps Angular developers up-to-date with the Learning AngularJS newsletter....
$9.99
MOOC and Blended Learning
by Shijie Yu- 0.0
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Approx. 5 hours to complete
The development of online education has brought opportunities and challenges for traditional teaching and learning. predicting the future of online education, 3 Multimodal Data Analysis of Students' Learning Behaviors and Needs 5 A Case Study of Zheng Li's Teaching Approaches for "C++ Program Design": Rain Courseware Examples and Instructional Tips on Campus...
Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 1 - Learning Outcomes, Definition of Big Data...
Clustering & Classification With Machine Learning In R
by Minerva Singh- 4.3
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8 hours on-demand video
Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples This course will give you a robust grounding in the main aspects of machine learning- clustering & classification. Unlike other R instructors, I dig deep into the machine learning features of R and gives you a one-of-a-kind grounding in Data Science!...
$12.99
Instructional Methods in Health Professions Education
by Caren Stalburg- 0.0
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Adult learning theory, including learning styles and motivation, metacognition, social learning theory, and professional identity formation. Formulating Intended Learning Outcomes, including Bloom’s Taxonomy, Miller’s pyramid and clinical competence, and Dryfus’ model of skill acquisition. Knowledge transfer, including active learning in large lecture formats, supportive questioning, and “Big Ticket” technique....
Free
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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. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it....
Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. What are examples of CSS? Introduction to Examples of CSS (Part 1) Examples of CSS: Machine Learning & AI Introduction to Examples of CSS (Part 2) Examples of CSS: Social Networks and Computer Simulations...
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. A Brief History of Modern AI and its Applications Introduction to Artificial Intelligence and Machine Learning History of Machine Learning and Deep Learning...
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