Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X can train on any type of data”, where X = some algorith...
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Smart Farming, or the Future of Agriculture
We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an...
Interesting Type of Chart: Hexagonal Binning
This chart communicates the same insights as a contour plot. What is interesting is the choice of hexagonal buckets (rather than squares) to aggregate data. In fact, any&...
Time Series Forecasting with RNNs
This article was written by Marek Galovič. In this article I want to give you an overview of a RNN model I built to forecast time series data. Main objectives of this ...
Interesting Type of Chart: Hexagonal Binning
This chart communicates the same insights as a contour plot. What is interesting is the choice of hexagonal buckets (rather than squares) to aggregate data. In fact, any ...
Hiring the right data scientist for the organisation
Any organisation needs talented, hardworking and skilled employees irrespective of department, business unit or a team. But finding and nurturing such talent can be chall...
The Upcoming Revolution in Predictive Analytics (And Data Science)
The Next Generation of Data Science Quite literally, I am stunned. I have just completed my survey of data (from articles, blogs, white papers, university websites, cura...
What’s the Difference Between Artificial Intelligence and Automation?
How are artificial intelligence (AI) and Automation different? Don’t they both offer options of hands-free, robotic style design? Often times we use automation and arti...
Deep Learning: An Overview
Let us begin with machine learning Machine learning means that machines can learn to use big data sets to learn rather than hard-coded rules. It is the core of artificial...
In Big Data, It’s Not the Volume that’s Important, It’s the Granularity
In many of my presentations and lectures, I have made the following declaration: In Big Data, it isn’t the volume of data that’s interesting, it’s the granularity; ...