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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. 2 Learning Styles and Learning Types 3 Multimodal Data Analysis of Students' Learning Behaviors and Needs 5 Expanding Learning Time and Space and Promoting Deeper Learning 6 Rain Classroom Solves the Learning Problem Before Class, in Class and After Class...
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
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
Learning Technologies Foundations and Applications
by Wenhao David Huang- 4.5
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Approx. 8 hours to complete
This course, Learning Technologies Foundations and Applications, is one of the two four-week MOOC courses that form part of Instructional Design MasterTrack Certificate. Role of Learning Technologies and Career Paths MODULE 3: Designing Technology-Enriched and -Enabled Learning Environments (TEELE) Technology-Enriched and Enabled Learning Environments (TEELE) Overview Design Models for Learning Technology and E-Learning...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
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Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Creating and Cleaning Features Summary of Predictive Modeling and Machine Learning...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. What is Artificial Intelligence and Machine Learning?...
Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
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Approx. 8 hours to complete
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Example of simple algorithms, and how to sort Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret Rules for AI: training and constraints...
Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
x and Keras to build, train, and deploy machine learning models. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models....
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Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
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Approx. 6 hours to complete
This course draws on Andrew Ng’s experience building and shipping many deep learning products. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. Training and Testing on Different Distributions...
How Google does Machine Learning
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
What is machine learning, and what kinds of problems can it solve? We end with a recognition of the biases that machine learning can amplify and how to recognize this. Training and serving skew Machine Learning and Human Bias Gain a broad perspective of machine learning and where it can be used...
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow The Components of an ML System: Tuner + Model Evaluation and Validation Training Design Decisions Ingesting data for Cloud-based analytics and ML...
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