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
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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
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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
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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
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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
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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
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Shared by Nick Milton May 20, 2019
Favorite One of the arguments against the term “Knowledge Management” is that knowledge is an intangible and cannot be managed, therefore “Knowledge Management” is an oxymoron Photo from FlickrIt wasn’t Einstein that said this quote, it was William Bruce Cameron in 1963, but its still a good quote The argument is
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Shared by Nick Milton May 17, 2019
Favorite Part of the way you manage issues such as risk, safety and knowledge, is by creating times and processes for talking about them. Steven Denning, at the Ottowa Knowledge Management summit a few years ago, said that the learning capacity of an organisation is directly related to it’s ability
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Shared by Nick Milton May 15, 2019
Favorite When seeking analogues for KM, learn from the organisations which are best at KM, not just from the organisations you like Image from wikimedia commons I delivered a training course a couple of months ago for a development organisation, using a whole set of example and case studies to
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Shared by Nick Milton May 13, 2019