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What Is Anything As A Service, Xaas, X As A Service, Everything As A Service, The Idea Behind Xaas, Types Of Xaas, Xaas Types, Benefits Of Xaas, Challenges...
Data Science 101Data ScienceFeaturedResources

Anything as a Service (XaaS) is a term that refers to a broad category of cloud computing and remote access services. Anything as a service is an all-encompassing phrase that refers to providing anything as a service. Businesses can pay a monthly subscription to a managed service provider to ensure

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Python For Data Engineers
Data ScienceContributorsFeaturedResources

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
Case StudiesData ScienceFeaturedMachine LearningResources

How can you make sure you’re building your machine learning infrastructure the right way? You’d be surprised to learn that you don’t need to have a full data science staff at hand. Machine learning has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. However, it

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
FeaturedIndustryResourcesStartups

Lack of women in leadership roles is a global phenomenon, and particularly in areas like STEM. Here is a snapshot on the global scenario and qualities that make women phenomenal leaders.   “Wait, gender inequality is still around?” Believe it or not, this is the question I received from my

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
Data NativesFeaturedResourcesStartupsStartups

Artificial intelligence, machine learning, big data, financial technology, and various connected devices are evolving the data-tech game on a day-to-day basis. Data enthusiasts are integrating into local communities on a world-wide scale to discuss and keep up with the fast pace of data-driven technologies. Here are four tips on how

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
ResourcesTechnology & IT

Are you struggling to keep up with the increasing volume of support tickets clogging mailboxes and ticketing tools? Do you find yourself juggling with truckloads of manuals, flowcharts and other documentation at your organization? Don’t worry, you are not alone. Most organizations give utmost importance to streamlining their customer support

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
ResourcesTechnology & IT

Whether you’re already working in IT management or still on your way up, you should be sure of one thing: that you’re as comfortable working with people as you are working with tech. As a leader in IT, you’re responsible for much more than technology. You’ll likely spend as much –

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
Big DataResources

Are you one of those project management professionals inclined to handle big data proposals? Having a strong project management background would add excellent support to your aspirations. However, for setting up a big data project team, you don’t just need good project management skills. You also need to supersize the

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
Data ScienceResources

It seems everyone and their grandmother wants to work in data science these days, and there are plenty of good reasons why that’s the case. First, the salaries are attractive: recent data from O’Reilly indicates the average compensation of a data scientist in the United States is $112,000 per year

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You Don’t Need Data Science Staff To Build Your Machine Learning Infrastructure
Big DataResources

Despite big data currently ranking among top business intelligence and data analytics trends, businesses continue to suffer from a lack of data-savvy talent. Research from BARC shows half of respondents reporting a lack of analytical or technical know-how for big data analytics. This is good news for tech beginners, however,

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