Throughout 2017 Docker, Inc has made multiple questionable decisions, which may heavily impact the future of the company. What did 2017 bring for Docker?
Big Data analytics, machine learning, search engine indexing and many more fields of modern data operations require data crawling and scraping. The point is, they are not the same things!
Personal New Year’s resolutions (like quitting smoking, losing 60 lbs of weight and subscribing to a gym) are rarely fulfilled, as these are usually merely whims, not goals.
Monitoring the infrastructure, apps and services, as well as logging the events for later analysis accounts for nearly half the effort of DevOps workflow. These 5 tools fit best for that purpose.
In the third part of our Deep Learning summary for 2017, we discuss the new discoveries and breakthroughs in reinforced learning and other fields.
It so happens there is but one thing an entrepreneur should fear. It is not failure — it is not reaching success due to not using the resources optimally. These 5 DevOps tips can do the trick.
In one of our recent articles we told about the advances in Deep Learning text and speech applications. An equally prominent domain is the DL algorithms for machine perception.
Deep Learning is disrupting many industries, and yours might not be an exception. Learn of the most notable deep learning projects of 2017 and ride the wave, or risk being rolled over…
While DevOps is not purely a set of tools and practices and rather is a mindset and an approach to software delivery, using the must-have DevOps tools makes the workflow much better.
Artificial Intelligence (or AI) is the goal many researchers try to reach. Many people consider Deep Learning (DL) as a synonym of AI, while it is not so. Learn how Deep Learning works!
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