4 important business intelligence considerations for the rest of 2019
Business intelligence occupies a strange position, often overshadowed by fields like data science and machine learning. But it remains a critical aspect of modern...
How artificial intelligence and machine learning can help us tackle the climate change emergency
“I don’t want you to be hopeful. I want you to panic. I want you to feel the fear I feel every day. And...
The CAP Theorem in practice: The consistency vs. availability trade-off in distributed databases
When you choose a database you are making a design decision. One of the best frameworks for understanding what this means in practice is...
Different types of NoSQL databases and when to use them
Why NoSQL databases?
The popularity of NoSQL databases over the last decade or so has been driven by an explosion of data. Before what’s commonly...
What can you expect at NeurIPS 2019?
Popular machine learning conference NeurIPS 2019 (Conference on Neural Information Processing Systems) will be held on Sunday, December 8 through Saturday, December 14 at...
Google is circumventing GDPR, reveals Brave’s investigation for the Authorized Buyers ad business case
Last year, Dr. Johnny Ryan, the Chief Policy & Industry Relations Officer at Brave, filed a complaint against Google’s DoubleClick/Authorized Buyers ad business with...
Key skills every database programmer should have
According to Robert Half Technology’s 2019 IT salary report, ‘Database programmer’ is one of the 13 most in-demand tech jobs for 2019. For an...
How to learn data science: from data mining to machine learning
Data science is a field that’s complex and diverse. If you’re trying to learn data science and become a data scientist it can be...
How to ace a data science interview
So, you want to be a data scientist. It’s a smart move: it’s a job that’s in high demand, can command a healthy salary,...
Data science vs. machine learning: understanding the difference and what it means today
One of the things that I really love about the tech industry is how often different terms - buzzwords especially - can cause confusion....