AWS: Approaches and Options for Machine Learning (ML) and AI

Free 1-hour introduction to AWS' Approaches & Options for ML & AI.

Description

In this free 1-hour webinar, you'll get an insight into AWS' Approaches & Options for Machine Learning (ML) and Artificial Learning (AI).

The future of Big Data, Artificial Intelligence (AI) and Machine Learning (ML) is bright: it’s projected to be worth $77 billion by 2023 and the stats are growing rapidly.

Amazon Web Services (AWS) is a flexible and scalable cloud platform, and one of the most popular suites of distributed applications in the world. Amazon is a powerhouse innovator, and their cutting-edge cloud offering has set the standards for the entire sector.

Artificial Intelligence (AI) - an umbrella term used to describe the concept that machines can be programmed to be “smart”, and learn, in order to better carry out tasks. ML is one of AI’s subfields.

Machine Learning (ML) - a branch of AI that concerns itself with data and a machine's ability to process it autonomously. In essence, it is the idea that we can give a machine access to our data and it will make smart decisions and find insights into data without being explicitly programmed to do so.

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