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Favorite It’s been a busy week for the AWS DeepRacer League. The world’s first global autonomous racing league allows machine learning developers of all skill levels to get hands-on with machine learning in a fun and exciting way. On April 29 2019, the virtual circuit of the AWS DeepRacer League
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Shared by AWS Machine Learning May 30, 2019
Favorite Machine learning (ML) workflows orchestrate and automate sequences of ML tasks by enabling data collection and transformation. This is followed by training, testing, and evaluating a ML model to achieve an outcome. For example, you might want to perform a query in Amazon Athena or aggregate and prepare data
Read More Shared by AWS Machine Learning May 30, 2019
Favorite The competition is heating up in the AWS DeepRacer League, the world’s first global autonomous racing league, open to anyone. The first round is almost halfway home, now that 9 of the 21 stops on the summit circuit schedule are complete. Developers continue to build new machine learning skills
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Are you a data scientist with data warehouse tables that you’d like to explore in your machine learning (ML) environment? If so, read on. In this post, I show you how to perform exploratory analysis on large datasets stored in your data warehouse and cataloged in your AWS Glue
Read More Shared by AWS Machine Learning May 30, 2019
Favorite The AWS DeepRacer League is the world’s first global autonomous racing league. There are races at 21 AWS Summits globally and select Amazon events, as well as monthly virtual races happening online and open for racing. No matter where you are in the world or your skill level, you
Read More Shared by AWS Machine Learning May 30, 2019
Favorite This is a guest post by Evan Harris, Manager of Machine Learning at Ibotta. In their own words, “Ibotta is transforming the shopping experience by making it easy for consumers to earn cash back on everyday purchases through a single smartphone app. The company partners with leading brands and
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. A lot of
Read More Shared by AWS Machine Learning May 30, 2019
Favorite The difference between knowledge and information can be summed up in this phrase. Do you know the saying “I am better informed, but none the wiser? It effectively means “I have extra information but do not know what it means nor what to do with it”. The phrase has
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Shared by Nick Milton May 22, 2019
Favorite Learning from your own experience is a preferred option only when the cost of those experiences is low. Anyone can learn from experience. Even my dog learns from experience. Three times she has tangled with an electric fence (once even managing to clip herself to the fence with the
Read More Shared by Nick Milton May 21, 2019
Favorite Individual bits of learned knowledge need to be synthesised into a common understanding. Synthesis [critical thinking skills] by Enokson, on Flickr Knowledge is incremental – it arrives as discrete learnings from experience. These increments of knowledge may be documented as lessons identified, best practices, blog posts, wiki pages and
Read More Shared by Nick Milton May 20, 2019