Search result for What is asynchronous learning Online Courses & Certifications
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Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer. Introduction to Apache Spark for Machine Learning on BigData What is Big Data?...
Artificial Intelligence Data Fairness and Bias
by Brent Summers- 4.9
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Approx. 6 hours to complete
Fairness and protections in machine learning...
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
The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. What is prediction? What data should you use? Welcome to Practical Machine Learning Describe machine learning methods such as regression or classification trees...
Foundations of Teaching for Learning: Curriculum
by Associate Professor Suseela Malakolunthu , Professor John MacBeath- 4.5
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Approx. 11 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. Lecture 2: Learning is Student-Specific Lecture 3: Theories of Student Learning Lecture 2: Designing Learning Activities...
Teaching Impacts of Technology: Relationships
by Beth Simon- 0.0
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Approx. 11 hours to complete
In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. This is part of a specialization What is Teacher Powerup? Impacts of Computing and Supporting Interactive Learning...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. What does a classifier actually do? What are decision trees? The Regression side of Supervised Learning...
Advanced Javascript
by Asim Hussain- 4.5
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6.5 hours on-demand video
If you are like me you learnt Javascript by just muddling along, seeing what works and learning a thing or two every day. A deep understanding of the this keyword is core to becoming a senior JavaScript developer. Asynchronous Programming: JavaScript power is in its asynchronicity, you will learn all about the pros and cons of callbacks, promises and async/await....
$14.99
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The Complete 2020 Web Developer Master Course
by Jesse Caine- 4.6
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66 hours on-demand video
During the course, there will be many challenges for the student to test what they've learned, and give them a chance to try to debug something or implement something on their own. But what else? Asynchronous JavaScript...
$12.99
Powerful Tools for Teaching and Learning: Web 2.0 Tools
by Bernard R Robin- 4.5
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Approx. 14 hours to complete
What is Web 2. Affective Learning and Reflective Practice Learning U. Week 5: Life Long Learning Video on Personal Learning Plan Explore this Personal Learning Space...
Teaching Impacts of Technology: Fundamentals
by Beth Simon- 4.9
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Approx. 11 hours to complete
In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. What is Teacher Powerup? What is the Shortest Path? Learning Design Review: What Structures Do We Use To Support Your Learning?...
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