Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.
Getting Started with AWS Machine LearningAmazon Web Services
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Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
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Principales reseñas sobre GETTING STARTED WITH AWS MACHINE LEARNING
Great content for someone new to this space. I really enjoyed all the information, thanks to all who are willing to share the knowledge. I'm ready to tackle the next course of AWS ML.
Very useful for beginners and also very useful in job prospectus, using this tuotorial model anyone with minimum knowledge of using computer can implement AWS ML model for their own benifits.
The introduction to machine Learning by Amazon Web Services is great course for the beginner and it is well explained by the instructor.I suggest that everyone should enrolled in this course.
Demonstration is very fast and in week five one video is 70 minutes long. It can be divided in to several short videos. Seeing a long video is creating a boredom. Otherwise it is a very nice course.
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