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Follow a Machine Learning Workflow
by Renée Cummings- 0.0
Approx. 20 hours to complete
This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. ETL and Machine Learning Pipelines Collect and prepare a dataset to use for training and testing a machine learning model....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. Week 1: Supervised Learning & Regression Review: Supervised Learning Supervised Learning & Regression Review: Classification and K-Nearest Neighbors Review: Logistic Regression and Support Vector Machines Introduction to Training and Testing Review: Classification and Training...
Teaching Primary Science: Chemistry
by Sarah Dagnell , Karen Brunyee , Rachel Jackson , Hester Binge- 0.0
3
Develop your knowledge of chemistry to support your pupils' learning as part of the primary science curriculum. Understanding materials and their properties Misconceptions: materials and their properties Reconstructing the learning Subject knowledge: solids liquids and gases Reconstructing the learning Reconstructing the learning Reviewing your professional development...
Free
Intel® Edge AI for IoT Developers
by Stewart Christie , Michael Virgo , Soham Chatterjee , Vaidheeswaran Archana- 0.0
3 Months
Lead the development of cutting-edge Edge AI applications that are the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications....
$399
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Machine Learning and Other Fields Perceptron Learning Algorithm (PLA)...
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
Approx. 22 hours to complete
If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Dense and ReLU Layers Training Connect with your mentors and fellow learners on Slack!...
Cloud Developer
by Kesha Williams , Gabriel Ruttner , Justin Lee , Ivan Mushketyk- 0.0
4 months
Cloud development is the foundation for the new world of software development. Enroll now to build and deploy production-ready full stack apps at scale on AWS, an essential skill for advancing your web development career. Start by learning the fundamentals of cloud development and deployment with AWS. Then, build different apps leveraging microservices, Kubernetes clusters, and serverless application technology....
$399
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Differentiation for Learning
by Andrea Mapplebeck , Dylan Wiliam , Chris Harrison- 0.0
3
Improve your teaching by developing how you provide differentiated learning opportunities for all your students. Supporting all students to develop knowledge, understanding and skills The link between learning and differentiation Scaffolding learning Nurturing a differentiated learning environment to motivate all learners Using differentiation to increase challenge and ownership of learning Reviewing your professional development...
Free
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning and Limitations Neural Networks and Training...
Science of Training Young Athletes Part 2
by Dr. Chris Brooks- 5
Approx. 25 hours to complete
We explore ways the muscular system can be designed to generate higher force and power and the type of training needed to mold the athlete's physical capacity so it meets the energy and biochemical demands of the sport. Acute fatigue during training and competition Fiber Type and Lactate Tapering and training load...