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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
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. Week 2: Selecting and Training a Model Meet us on Discourse! Week 2: Select and Train a Model Selecting and Training a Model Diligence on feasibility and value...
Essentials in Clinical Simulations Across the Health Professions
by Pamela R. Jeffries , Sabrina Beroz , Pamela Slaven-Lee , Crystel Farina , Karen Lewis , Kristina Thomas Dreifuerst , Suzan Kardong-Edgren- 4.8
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Approx. 12 hours to complete
INACSL Standards of Best Practice: Simulation on Operations, Debriefing, Participant Evaluation, and Simulation-Enhanced Interprofessional Education Curriculum Development and Key Concepts Recruiting SPs and Training Them for Role Portrayal SP Program Management and SP Educator Professional Development Recruiting SPs and Training Them for Role Portrayal SP Program Management and SP Educator Professional Development...
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. Follow us on Facebook Page and Twitter (@TsinghuaX). 5 Internal Systems and External Relations of Courses 5 A Case Study of Zheng Li's Teaching Approaches for "C++ Program Design": Rain Courseware Examples and Instructional Tips on Campus...
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
Welcome to this course on Customising your models with TensorFlow 2! 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. Model subclassing and custom training loops Welcome to week 4 - Model subclassing and custom training loops...
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....
Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Sequences and Prediction Train, validation and test sets Moving average and differencing Preparing features and labels Preparing features and labels Machine learning on time windows More on single layer neural network Deep neural network training, tuning and prediction Preparing features and labels notebook...
Ferrous Technology II
by Kim, Sung-Joon , Kang, Youn-Bae , Suh, Dong Woo , Kim, Nack Joon- 4.8
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Approx. 8 hours to complete
In this course, we explore both fundamental and technical issues related to steels, including iron and steelmaking, microstructure and phase transformation, and their properties and applications. Microstructure and phase transformation in steels I: Fundamentals Microstructure and phase transformation in steels III: Role of alloying elements in steels Mechanical properties and future development...
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Researcher Management and Leadership Training
by Anne M. Libby, PhD- 4.9
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Approx. 20 hours to complete
Research leaders take on a number of new roles, rights, and responsibilities--as scientific leaders, financial administrators, managers, and mentors. Researcher Management and Leadership Training Introduction to Researcher Management and Leadership Training About the Team: Research Management and Leadership Training Feasibility Assessment & Continuous Training Judy Q&A Interview on Mentorship and Sponsorship (RECOMMENDED)...
Principles of Computing (Part 1)
by Scott Rixner , Joe Warren , Luay Nakhleh- 4.7
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Approx. 19 hours to complete
In part 1 of this course, the programming aspect of the class will focus on coding standards and testing. The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science. Math Notes on Permutations and Combinations Math Notes on Logarithms and Exponentials...
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 Lab 5 : Training on Cloud AI Platform...
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