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Nursing Informatics Training and Education
by Karen Monsen, Ph.D., RN, FAAN- 4.8
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Approx. 21 hours to complete
In this fourth of our five courses, I will go deeper into the training and education leadership skills that are helpful for nursing informatics leaders. Describe informatics education and training needs for diverse participants with various experience levels to enable development of appropriate training and education materials. The Who What When Were and Why of Nursing Informatics Training and Education...
Introduction to Learning Transfer and Life Long Learning (3L)
by Mike Smith , Carolyn Dare- 4.6
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Approx. 6 hours to complete
Learn how to identify the enablers and barriers to learning transfer. Use your own experience to categorise the processes and activities involved in learning and transferring that learning into practice. There are many criteria against which the success of training and development activities can be judged. Learning Preferences, Strategies, and Styles...
Cybersecurity Job Search and Interviews: Getting Started
by Herbert J. Mattord, Ph.D., CISM, CISSP, CDP , Michael Whitman, Ph.D., CISM, CISSP- 0.0
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Approx. 10 hours to complete
• Describe the NIST NICE Cybersecurity Workforce Framework and the use as a cybersecurity career development tool. • List and explain the knowledge preparation for the cybersecurity professional from an education versus training perspective. • List and describe the various cybersecurity certifications available to cybersecurity professionals and differentiate their suitability based on the professional’s career status....
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. Multiple inputs and outputs [Coding tutorial] Multiple inputs and outputs Model subclassing and custom training loops Welcome to week 4 - Model subclassing and custom training loops...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 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....
End-to-End Machine Learning with TensorFlow on GCP
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Machine Learning (ML) on Google Cloud Platform (GCP)...
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....
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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...
Getting started with TensorFlow 2
by Dr Kevin Webster- 4.9
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Approx. 26 hours to complete
In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. Convolutional and pooling layers [Coding tutorial] Convolutional and pooling layers...
The Science of Training Young Athletes
by Dr. Chris Brooks- 4.8
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Approx. 19 hours to complete
We begin by examining the multidimensional nature of coaching, the relevant sport motor performance abilities, the impact of growth and development on motor skills, the gene versus practice controversy, and briefly overview the body structures strengthened through training. Part 3 - Development and environment Psychology 2 - Talent identification and development (Dr....
