Posts In Category

Data Science 101

How To Advance In Your Data Science Career - Ama With Elena Poughia
Artificial IntelligenceBig DataData ScienceData Science 101EducationFeatured

On March 18th at 6 PM CET, Elena Poughia, Data Natives’ CEO and curator shared her tips on how advance in your data science career during a live Ask Me Anything Session available via DN Club. Here is the recap of the AMA session with selected Q&As. In January we

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Hackcorona: 300 Participants, 41 Nationalities, 23 Solutions To Fight Covid-19 Outbreak
Artificial IntelligenceBI & AnalyticsBig DataData ScienceData Science 101FeaturedHealthcareNewsStartupsTech TrendsTechnology & IT

In just one day, the HackCorona initiative gathered over 1700 people and 300 selected hackers came up with 23 digital solutions to help the world fight the COVID-19 outbreak during the 48-hour long virtual hackathon by Data Natives and Hacking Health. Here are the results. HackCorona was created on March 17th

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Why Data Scientists Must Be Able To Explain Their Algorithms
Artificial IntelligenceBI & AnalyticsBig DataData ScienceData Science 101Featured

The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. “I’m afraid

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How To Make Data Lakes Reliable
BI & AnalyticsBig DataData ScienceData Science 101EducationFeatured

Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data

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Free Ebook: A Practical Introduction To Apache Spark
Data ScienceData Science 101EducationFeatured

If you are a developer or data scientist interested in big data, Spark is the tool for you. Apache Spark’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end-users, and integrators to solve

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Demand For Data Scientists Far Exceeds Supply. Here'S How Your Company Can Cope
ContributorsData ScienceData Science 101FeaturedTech Trends

Data Science is described as “the career of the future,” but finding Data Scientists for your company could be a major challenge. Here is how you could find one for your company. As demand keeps growing for people with the expertise to manage, analyze and safely store ever-larger sets of

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Why We Need To Open Up Ai Black Boxes Right Now
Artificial IntelligenceData NativesData Science 101EducationEventsFeaturedInterviewsMachine LearningTech TrendsTechnology & IT

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

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Three Questions You Need To Answer To Succeed In Data-Driven Projects
Big DataData NativesData ScienceData Science 101FeaturedTech Trends

The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions. Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour

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Nonlinear Regression
Data ScienceData Science 101Resources

Linear regression is a basic tool. It works on the assumption that there exists a linear relationship between the dependent and independent variable, also known as the explanatory variables and output. However, not all problems have such a linear relationship. In fact, many of the problems we see today are

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75 Big Data Terms Everyone Should Know
Big DataData Science 101Understanding Big Data

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list.  Just to give you a quick recap, I covered the following terms in my first

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