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Hackathons vs Conference: Which One Works The Best for Blockchain Industry?

Hacker Earth

One of the ways to disseminate information about the tech is via industry conferences which help Blockchain developers network with and learn from their peers. Conferences are events where people with similar interests or professional backgrounds exchange ideas, share knowledge, network, and discuss industry-related topics.

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More On Hadoop World: Expect action oriented sessions that will inform your Big Data strategy

CTOvision

This year’s event is expected to draw record attendance, with well over 2,500 end users, business leaders, solution providers, and open source contributors for three days of tutorials, workshops and discussions about the tools and techniques that make data work. Learn, Network and Engage at Community Meetups.

Big Data 182
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Technology Short Take 152

Scott Lowe

Networking. Koyeb describes , at a high level, the global networking stack for their serverless platform. Components involved include the open source Kuma service mesh (in turn leveraging Envoy), anycast BGP, and mutual TLS (mTLS). This workshop on using Graviton2 on AWS is pretty neat. Virtualization.

Storage 79
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Is data science a good career? Let’s find out!

Dataconomy

Versatility and industry applications Is data science a good career? With its widespread applications across industries, is data science a good career path for professionals looking for versatility in their work? From agriculture to entertainment, data science finds applications in almost every domain.

Data 36
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Leveraging Organizational Knowledge: Questions to Verna Allee on how to start a Value Networks analysis

Leveraging Organizational Knowledge

Leveraging your organisational knowledge relates to Knowledge Management, organisational learning, human capital development, social media/networks strategy, multi-channels Customer Relationships Management (CRM) 21 April 2007 Questions to Verna Allee on how to start a Value Networks analysis This week I attended a (tel.

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MXNet - Deep Learning Framework of Choice at AWS

All Things Distributed

And there are many more application areas where we use machine learning extensively: search, autonomous drones, robotics in fulfillment centers, text and speech recognitions, etc. Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.

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Geek of the Week: Tech vet Dick Hardt searches for a better way to verify your ?internet identity?

GeekWire

Dick Hardt has often been “early to the new,” as he puts it: Microsoft Windows in 1986, neural networks in 1989, the internet in 1993, open source in 1995, and even Burning Man in 1999. “The user’s privacy is protected, as from the application’s point of view the provider is always SignIn.org.

Internet 110