A Complete Guide on Getting Started with Deep Learning in Python

| August 9, 2018

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You seem to come across the term ‘Deep Learning’ everywhere these days. It’s all pervasive and seems to be at the heart of all AI related research. It has even spawned new and never-thought-of-before innovations!But how can you learn it? There are way too many resources out there, spread in a very unstructured and not a very beginner friendly manner. You complete a course on one platform, move to another course on a different platform, and so on. You learn, but not in any logical or sequential manner. That’s a bad idea.

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OmniSci

OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics, redefining speed and scale in big data querying and visualization. The OmniSci platform is used to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in the cloud and on-premise. OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

OTHER ARTICLES

Protecting your company during COVID-19: Guidance for CIOs and CISOs

Article | April 8, 2020

Cyberattackers are resourceful and opportunistic. They will move quickly to take advantage of a situation. COVID-19 is no different. There is a huge amount of global uncertainty and change right now which criminals are seeking to capitalize on. The risks are amplified by the immediate and unforeseen IT challenges that companies are having ensuring their staff can work from home. There are two areas which are most likely to result in a cybersecurity incident due to the ongoing crisis: remote access and phishing. We’ll cover both in this article and provide a set of prioritized recommendations to expeditiously prevent, or at least mitigate, these critical issues.

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Edge computing environments: what you need to know

Article | March 24, 2020

The saying goes: “If you’re not on the edge, you’re taking up too much space”. And compute itself is now moving to the edge, forcing datacentre operators to wring the last drops of productivity from their infrastructure, ahead of a future supporting multi-sensor internet of things (IoT) devices over 5G for machine learning, and even artificial intelligence (AI). Jennifer Cooke, research director of cloud-to-edge datacentre trends at IDC, says datacentre operators need to start thinking about how many systems they will need to roll out, and the people they will need to support them. “Cost becomes the prohibitive factor,”

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Future-Proof Your IT: 4 Questions to Find the Right Strategy for You

Article | April 7, 2020

Cloud computing has completely changed the way we do business—and despite common misconceptions, the impact goes way beyond where files are stored. Sales teams can access customer relationship management (CRM) solutions from anywhere in the world, thanks to software as a service (SaaS). SaaS solutions also drive some of today’s most important customer interactions. At the same time, IT departments are under pressure to offer secure storage, lightning fast networking, and fast computing capabilities. There’s an increasing shift to “as a service” consumption models, and there’s a newer option to consider: “pay as you go.” Here’s what you need to consider as you navigate the evolving landscape of IT strategy.

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The world is ready for 5G. Are you?

Article | June 3, 2021

At last, the wait for 5G is nearly over. As this map shows, coverage is widespread across much of the U.S., in 24 EU countries, and in pockets around the globe. The new wireless standard is worth the wait. Compared to 4G, the new wireless standard can move more data from the edge, with less latency. And connect many more users and devices—an important development given that the IDC estimates 152,000 new Internet of Things (IoT) devices per minute by 2025. Put it together, and 5G is a game-changing backhaul for public networks. (Wi-Fi 6, often mentioned in the same breath as 5G, is generally used for private WANs.

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Spotlight

OmniSci

OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics, redefining speed and scale in big data querying and visualization. The OmniSci platform is used to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in the cloud and on-premise. OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

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