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InfoWorld Daily

December 28, 2018

Image: Powering AI: The explosion of new AI hardware accelerators

Powering AI: The explosion of new AI hardware accelerators

Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live Read more ▶

Your Must Read Stories

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Powering AI: The explosion of new AI hardware accelerators

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Why you should use Python for machine learning

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How to use Knime for data science

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Python threading and subprocesses explained

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Explainable AI: Peering inside the deep learning black box

White Paper: Zscaler

The Survivor’s Guide to building an Office 365 network

From a fast user experience, to a cost-cutting productivity platform, your users and CIO are expecting amazing things from Office 365. While it’s your job to deliver on the promise, you’re not going to get very far unless your network has been properly set up for the experience. Read more ▶

Image: Why you should use Python for machine learning

Why you should use Python for machine learning

Learn why Python has become the go-to programming language for machine learning and deep learning applications Read more ▶

Image: Download Malwarebytes Today and Protect Your Data for Free

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This innovative cybersecurity software helps you fight hackers, and it’s free. Read more ▶

Image: How to use Knime for data science

How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows Read more ▶

 
 
Image: Python threading and subprocesses explained

Python threading and subprocesses explained

Take advantage of Python’s ability to parallelize workloads using threads for I/O-bound tasks and subprocesses for CPU-bound tasks Read more ▶

Image: Explainable AI: Peering inside the deep learning black box

Explainable AI: Peering inside the deep learning black box

Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help Read more ▶

White Paper: Hitachi Vantara

Eight Essential Checklists for Managing the Analytic Data Pipeline

Organizations of every type are racing to use their data better. We all know the importance of analytics and business intelligence (BI) when it comes to successfully operating a company. But in an age when the number of data sources and data volumes is exploding, it’s essential to make certain that your data is analytics-ready at the beginning of the data pipeline, as opposed to random points where business users may need to use it Read more ▶

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