Data scientist remains the “hottest” job of the XXI century. Data Scientists are in high demand in every industry while candidates are in short supply and it’s getting harder to attract the rare talent and make them stay. In the Glassdoor report on the most popular vacancies in the USA, Data Scientist was ranked #1…
How to ensure you are ready to use machine learning algorithms in a project? How to choose the most suitable algorithms for your data set? How to define the feature variables that can potentially be used for machine learning? Exploratory Data Analysis (EDA) helps to answer all these questions, ensuring the best outcomes for the…
We are witnessing a new industrial revolution. Marketing is becoming less of an art and more of a data-driven discipline that resembles pure magic to the consumer. The aim of retailers is to get inside the head of the customers and anticipate needs, desires, and options even before the person makes a conscious decision. The…
How artificial intelligence and machine learning techniques are shaping the healthcare industry and health outcomes for millions of people around the world.
In just three years data science company InData Labs became a significant player on data research and artificial intelligence market both in Belarus and overseas. In their big interview to dev.by, this start-up from Minsk share successful projects experience, talk about technological stack and intricacies in working with data. “Back in 2014, when the idea…
Generally speaking, Spark provides 3 main abstractions to work with it. First, we will provide you with a holistic view of all of them in one place. Second, we will explore each option with examples. RDD (Resilient Distributed Dataset). The main approach to work with unstructured data. Pretty similar to a distributed collection that is…
In economies where the role of big data is ever-increasing, companies turn to business intelligence (BI) and reporting tools to have their data analyzed and presented in a precise and readable format. In this article, I will tell why we chose Superset among other BI tools, what are the main benefits and drawbacks of the platform.
Artificial intelligence (AI) is a broad term that incorporates everything from image recognition software to robotics. The maturity level of each of these technologies strongly varies. Nevertheless, the number of innovations and breakthroughs that have brought the power and efficiency of AI into various fields including medicine, shopping, finance, news, and advertising is only growing….
The Big Data Innovation Summit London will bring together executives from the data community for two days of keynotes, panel sessions, discussions & networking. The event focuses on all areas of Big Data including Data Strategy, Data Science, Hadoop, Data Mining, Cultural Transformation and much more. We look forward to seeing you there!
While mobile apps continue to be a prime focus for the enterprise, there is an increasing interest in artificial intelligence technologies. Gartner predicts that intelligent apps will be one of the top ten strategic trends for 2017. When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. What…