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Severe to Profound Intellectual Disability: Circles of Care and Education
by Judith McKenzie- 4.7
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Approx. 14 hours to complete
We look at lifelong learning by exploring brain development, the learning process and how to maximise the opportunities for learning. With input from a range of experts, we consider how best learning can be facilitated. How learning takes place Attitudes to learning Learning for the child with severe to profound intellectual disability Factors to consider for learning...
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? Introduction to Neural Networks and Deep Learning Introduction to Deep Learning Introduction to Neural Networks and Deep Learning...
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. Welcome to Machine Learning for All Y​ou will be able to explain and predict how data affects the results of machine learning...
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. This course will show you how to approach the goal of improving learning transfer in your organisation. Learning Transfer and Impact: Introduction to the LTSI...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data....
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. By understanding these features of the Aggregation Framework you will learn how to ask complex questions of your data. By the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow....
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. How to Curate A Ground Truth For Your Business Dataset (Required)...
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Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. Use Automated Machine Learning in Azure Machine Learning Introduction to Create No-code Predictive Models with Azure Machine Learning Azure Machine Learning to Train and Deploy a Predictive Model How to be successful in this course...
Foundations of Teaching for Learning: Planning for Teaching and Learning
by Dr Judy Halbert , Dr Linda Kaser , Professor John MacBeath- 4.8
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Approx. 12 hours to complete
This course will help you consider how to develop appropriate learning goals for individual and groups of students. You will learn how to plan learning activities to engage your students in ways that will achieve these goals. Lecture 1: Introduction to mindsets for Teaching and Learning Copy of Lecture 1: Introduction to mindsets for Teaching and Learning...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
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Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
Free
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