The endless possibilities of machine learning

Machine learning

Machine learning – such a powerful and popular term that has taken over the software development industry, especially data-driven software solutions. It’s a method of data analysis that is based on the concept that systems can learn from data, identify patterns, and forecast future movements. For many companies that either generate or collect vast amounts […]

Data-driven startups – a new driving force of market changes

The reason why startups are interesting is that they require having a set-in business model. They need to have their business plan and future strategies outlined in line with the state of the market. Usually, startups are based on innovative ideas that solve consumers’ or clients’ problems and they answer their needs.   Startups are […]

What are wearable devices without data science and engineering?

In the world of wearable devices, user experience is dependent on metrics and insights they get from using such devices. The accuracy of those metrics is driven by the processes and methods in the fields of data science and data engineering. Our own data detective, Dario Bošnjak had the pleasure of working with the producer […]

Are You Concerned About Starting a Data Science Project?

If you are reading this, there is a high probability that you have a problem and you think that data can be a solution for it. Another option is that the data is your problem — you have lots of it but it is not clean, comes from many sources, and is unorganized and unreliable. […]

Data Integration Tools vs. Data Processing Frameworks/Libraries/Engines

Introduction For any data engineer, data pipelines are very important. Choosing how to develop one is integral for the person building it since it’s going to determine the complexity of the process. When developing a data pipeline you can use two approaches. One of them is to use a programming language and a data processing […]

Data Visualization: Tableau vs. Visualization Libraries

Tableau is one of the most used BI and data visualization tools, hence it attracts a lot of attention – both good and bad. Being such a popular tool, there is little chance that somebody from the data domain did not hear about Tableau. This won’t be another post about how bad it is, but […]