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Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Machine Learning Model Machine Learning Workflow Concept Drift and Transfer Learning Differences Between Traditional Programming and Machine Learning Differences Between Supervised and Unsupervised Learning...
Data Science for Construction, Architecture and Engineering
by Clayton Miller- 0.0
7 Weeks
Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth. Why data science is important for the built environment...
$199
Learn Complete Kafka from Start to End
by Arun Singh- 0.0
4.5 hours on-demand video
Learning environment is setup with three node cluster to give production level environment for learning and growing and connect all kafka dots from CLI to Kafka Connect and Stream processing under one course keeping in mind for students from beginner level till expert....
$12.99
End-to-End Machine Learning with TensorFlow on GCP
by Google Cloud Training- 4.5
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)...
Sample-based Learning Methods
by Martha White , Adam White- 4.7
Approx. 22 hours to complete
Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. Reinforcement Learning Textbook Read Me: Pre-requisites and Learning Objectives Why does off-policy learning matter?...
Artificial Intelligence for Simple Games
by Jan Warchocki- 4.5
12.5 hours on-demand video
Whether you’re an absolute beginner or seasoned Machine Learning expert, this course provides a solid foundation of the basic and advanced concepts you need to build AI within a gaming environment and beyond. Dive into SuperDataScience’s much-loved, interactive learning environment designed to build knowledge and intuition gradually with practical, yet challenging case studies....
$11.99
Pivoting to Online Teaching: Research and Practitioner Perspectives
by George Siemens , Justin Dellinger , Matt Crosslin , Tanya Joosten- 0.0
6 Weeks
Each module, you will watch videos and read articles by online learning experts and participate in activities and discussions covering critical topics that will make the online environment a rich learning experience for your students. Plan long-term online learning and the return to classroom teaching by adopting the best of the online environment to support in-class learning...
$139
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Severe to Profound Intellectual Disability: Circles of Care and Education
by Judith McKenzie- 4.7
Approx. 14 hours to complete
Understanding learning in intellectual disability Facilitating learning as a caregiver Lifelong learning Lifelong learning How learning takes place Attitudes to learning Facilitating learning Learning context TEDI Research: Lifelong learning Learning for the child with severe to profound intellectual disability Factors to consider for learning Week 2: Lifelong learning Facilitating learning Developing a learning programme...
xAPI Fundamentals - Getting Started with xAPI (aka TinCan)
by Jeff Batt- 4.7
3.5 hours on-demand video
Get started with xAPI, learning how it works and how to track learning behavior from anywhere. This means you can track how they did in the learning environment but also how they do in the live environment seeing exactly how learn impacted performance....
$11.99
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. -Understand how to use supervised learning approaches to approximate value functions -Implement TD with function approximation (state aggregation), on an environment with an infinite state space (continuous state space)...