Marketing is traditionally associated with advertising but is so much more than deciding on which ads to present to your customers. As a marketer, you’re expected to help shape your company’s value proposition, communicate it … Read more
Category: Data Science
Transform your job into your hobby!
My job, my hobby … Being able to perform tasks in which you are successful, which go very smooth, which energize you and give tons of satisfaction?On top of that, people call it your job … Read more
AI generated art: The Good, The Bad and the Ugly
Introduction Every year, I have a tradition of listening to the MTV unplugged performance of Nirvana (1993) on Youtube. Last year, a comment on one of the videos really struck a chord with me. It … Read more
Bridging gaps: The value of academic research for data scientists
Data science is a rapidly evolving field. Daily, academics at universities work on the next big algorithm that will help make our lives easier. Large corporations, such as Microsoft and Amazon, have even made in-house … Read more
Happy birthday to our Algorhythm blog
Sharing knowledge is an important value within Algorhythm. The idea of starting a blog community was a logic consequence to get the information into the world. It’s been a year since we launched our first … Read more
Visualizing multicollinearity in Python
Introduction What is multicollinearity? Multicollinearity is when two or more features are correlated with each other. Although correlation between the independent and dependent features is desired, multicollinearity of independent features is less desired in some settings. In … Read more
Self-service no-code development platforms, a good idea?
Introduction As for any company, development strategies focus on introducing innovative technical solutions (e.g. artificial intelligence, blockchain…) as well as smart data processes. And that is why, at Algorhythm, we built smart data platforms. We … Read more
Integrate a Hugging Face NLP model in Tableau with TabPy
Introduction Tableau is a powerful tool for data analysis and utilized by many organizations to extract meaningful and valuable insights from data. Head over to the blogs written by our Analytics & BI unit to … Read more