Favorite Unity is one of the most popular game engines that has been adopted not only for video game development but also by industries such as film and automotive. Unity offers tools to create virtual simulated environments with customizable physics, landscapes, and characters. The Unity Machine Learning Agents Toolkit (ML-Agents)
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Shared by AWS Machine Learning December 17, 2020
Favorite It is becoming increasingly common to appoint your CKO internally, from within the organisation. A common question when implementing Knowledge Management – should your KM team leader, or CKO, be an internal appointment, or should you look externally to fill the role? I posted on this topic in 2019, but include
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Shared by Nick Milton December 17, 2020
Favorite AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator, and a global racing league. Throughout 2020, tens of thousands of developers honed their ML skills and competed in the
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Shared by AWS Machine Learning December 16, 2020
Favorite Editor’s note: Today’s guest post comes from Darren Grover, Head of Healthy Land and Seascapes at the World Wide Fund For Nature Australia. Over the next six months, more than 600 sensor cameras will be deployed in bushfire-affected areas across Australia, monitoring and evaluating the surviving wildlife populations. This
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Shared by Google AI Technology December 15, 2020
Favorite In a project based organisation, project managers bear much of the accountability for KM within the projects. There are two dimensions to KM within a project based organisation. These are KM within individual projects, and KM across and between the projects. Any project based organisation needs to consider both
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Shared by Nick Milton December 15, 2020
Favorite The risk of loss of the status quo can be a powerful disincentive for change, and can be a powerful factor working against knowledge management implementation. There is a very apt quote from Machiavelli (The Prince, 1532), which applies to Knowledge Management as it does to any change initiative:
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Shared by Nick Milton December 14, 2020
Favorite According to The State of Data Science 2020 survey, data management, exploratory data analysis (EDA), feature selection, and feature engineering accounts for more than 66% of a data scientist’s time (see the following diagram). The same survey highlights that the top three biggest roadblocks to deploying a model in
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Shared by AWS Machine Learning December 12, 2020
Favorite Amazon SageMaker Autopilot automatically trains and tunes the best machine learning (ML) models for classification or regression problems while allowing you to maintain full control and visibility. This not only allows data analysts, developers, and data scientists to train, tune, and deploy models with little to no code, but
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Shared by AWS Machine Learning December 11, 2020
Favorite Note: At the AWS re:Invent Machine Learning Keynote we announced performance records for T5-3B and Mask-RCNN. This blog post includes updated numbers with additional optimizations since the keynote aired live on 12/8. At re:Invent 2019, we demonstrated the fastest training times on the cloud for Mask R-CNN, a popular
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Shared by AWS Machine Learning December 11, 2020
Favorite Businesses are increasingly using machine learning (ML) to make near-real time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. ML models make predictions given a set of input data known as features, and data scientists easily spend more
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Shared by AWS Machine Learning December 11, 2020
Shared by AWS Machine Learning December 17, 2020
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