Day: November 6, 2017

AI Home Automation Machine Learning Microsoft

Deep Dive into the Microsoft Cognitive Toolkit (CNTK)

Here’s a great session from Ignite 2017 that goes deep into CNTK. CNTK is the AI platform of choice within Microsoft and, since it’s open source, has contributors from a wide variety of organizations from academia and the private sector.

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AI

Join the Chatbot movement with Microsoft Bot Framework

The Microsoft Bot Framework allows you to build a chatbot once, and publish it across a multitude of communication channels, such as Facebook Messenger, Skype, and many others. Watch this webinar to get an overview of how bots can be used in a variety of scenarios.

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Azure Video Production

Azure Batch Rendering Service

Dave Fellows explains the Azure Batch Rendering, which is built on the Azure Batch service to provide capabilities for rendering 3D graphics for film and other visual media projects. This is truly an idea whose time has come. Given the raw compute power of the cloud, there’s no reason that it can’t be turned into […]

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AI

Andrew Ng interviews Yuanqing Lin

The legendary Andrew Ng interviews Head of Baidu Research, Yuanqing Lin.

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Hardware

Using the UDOO x86 as a Low Cost Virtual Machine Server

Sure, you can create any number of virtual machines on AWS, Azure, or any number of cloud providers. But what if you wanted a cheap way to run VMs locally? Novaspirit Tech has the answer.

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PowerBI

How to Find the Server Your Power BI Gateway is On

You can’t (currently) find the server where your Power BI Gateway is located via the user interface. However, you can find the server your gateway is installed on by using the REST APIs. In this video, Adam shows you how to do it.

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AI Data Science

A Visual Guide to Bayesian Thinking

Julia Galef uses pictures to illustrate the mechanics of “Bayes’ rule,” a mathematical theorem about how to update your beliefs as you encounter new evidence.

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Data Science

Three Principles of Data Science: Predictability, Stability, and Computability

In this talk, Bin Yu, professor at UC Berkley, discusses the intertwining importance and connections of three principles of data science. The three principles will be demonstrated in the context of two neuroscience projects and through analytical connections. In particular, the first project adds stability to predictive models used for reconstruction of movies from fMRI […]

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