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Business Process Flow Mapping Succinctly

Business Process Flow Mapping Succinctly

In a company, when the business process is defined, employees feel confident in their roles. They understand expectations and can easily identify when something is amiss or requires escalation. In Business Process Flow Mapping Succinctly, Erica Quigley will show you the activities that should occur in order to completely define a business process so you can identify and rectify gaps in communication, procedures, and teams. You will also learn a simple way to document the process so the project team working with you can feel confident in what they are being asked to execute.

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Docker Succinctly

Docker Succinctly

Containers have revolutionized software development, allowing developers to bundle their applications with everything they need, from the operating system up, into a single package. Docker is one of the most popular platforms for containers, allowing them to be hosted on-premises or on the cloud, and to run on Linux, Windows, and Mac machines. With Docker Succinctly by Elton Stoneman, learn the basics of building Docker images, sharing them on the Docker Hub, orchestrating containers to deliver large applications, and much more.

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Introduction to CNTK Succinctly (Microsoft Cognitive Toolkit)

Introduction to CNTK Succinctly (Microsoft Cognitive Toolkit)

«Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework, enables you to create feed-forward neural network time series prediction systems, convolutional neural network image classifiers, and other deep learning systems. In Introduction to CNTK Succinctly, author James McCaffrey offers instruction on the basics of installing and running CNTK, and also addresses machine-learning regression and classification techniques. Exercises and explanations are included in each chapter». (Syncfusion)

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Open Research Dataset (CORD-19): Semantic Scholar has partnered with leading research groups to release the COVID-19

Open Research Dataset (CORD-19): Semantic Scholar has partnered with leading research groups to release the COVID-19

The Allen Institute just published the #covid19 open research #dataset. In addition, they are sponsoring a related Kaggle competition. The dataset contains almost 30k scholarly articles related to the virus. The goal is to use #NLP to advance our understanding.

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Altair: Declarative Visualization in Python

Altair: Declarative Visualization in Python

Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. Altair is developed by Jake Vanderplas and Brian Granger in close collaboration with the UW Interactive Data Lab.

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Robots in a rush: time-aware AI aids human-machine interaction

Robots in a rush: time-aware AI aids human-machine interaction

The TIMESTORM consortium, funded by the EU’s Future and Emerging Technologies (FET) programme, has transformed the notion of time perception in artificial intelligence from an immature, poorly defined subject into a promising new research strand, drawing on diverse expertise in psychology and neurosciences as well as robotics and cognitive systems.

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Keras Succinctly

Keras Succinctly

Neural networks are a powerful tool for developers, but harnessing them can be a challenge. With Keras Succinctly, author James McCaffrey introduces Keras, an open-source, neural network library designed specifically to make working with backend neural network tools easier.

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