‘Computing technology at a tipping point’, says WEF Davos Panel
The ongoing World Economic Forum meeting 2019 has seen a vast array of discussions on political, technological and other industrial agendas. The meeting brings...
4 misconceptions about data wrangling
Around 80% of the time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and...
What’s the difference between a data scientist and a data analyst
It sounds like a fairly pedantic question to ask what the difference between a data scientist and data analyst is. But it isn't -...
Nvidia and AI researchers create AI agent Noise2Noise that can denoise images
Nvidia has created an an AI agent that can clean 'noisy images' - without ever having seen a 'clean' one. Working alongside AI researchers...
The tech monopoly and income inequality: Why innovation isn’t for everyone
“Capital is dead labor, which, vampire-like, lives only by sucking living labor, and lives the more, the more labor it sucks,” Karl Marx
An explanation...
5 data science tools that will matter in 2018
We know your time is valuable. That's why what matters is important. We've written about the trends and issues that are going to matter...
Data Science Is the New Alchemy
Every day I come into work and sit opposite Greg. Greg (in my humble opinion) is a complete badass. He directly turns information that we’ve...
Is data science getting easier?
The answer is yes, and no. This is a question that could've easily been applied to textile manufacturing in the 1890s, and could've received...
Containerized Data Science with Docker
So, you're itching to begin your journey into data science but you aren't sure where to start. Well, I'm glad you’ve found this post...
Top 5 misconceptions about data science
Data science is a well-defined, serious field of study and work. But the term ‘data science’ has become a bit of a buzzword. Yes,...