atoti

“I was able to do everything in the same Jupyter notebook just using atoti” – Tasneem Ahmed

Faced with creating an NLP text to query exploration of storm data from a spider dataset requiring multidimensional analysis and storytelling through visuals, Tasneem and her team discovered atoti. “I didn’t need to switch from different tools to construct the cube and then switch to another tool to create a...

Viewing AI from an artistic perspective with Li Xiao’an

Art is a better way to experience something mathematical https://www.youtube.com/watch?v=gA03iyI3yEA AI in the music industry is nothing new. AI tools such as Google’s NSynth Super, Shutterstock’s Amper Music and Sony’s Flow Machines have been used by musicians to make music or simplify their music-making process. In part one of our...

Li Xiao’an: Strategizing AI solutions in the music industry

The need for non-technical subject matter experts in data science Known as Xiao’an — Composer, Life Science Husband on LinkedIn, his headline says “Music For Whatever The Hell You Want | AI Solutions To Music Industry Problems”. That got me really curious. What has a composer got to do with AI solutioning? If...

Synthetic data generation: test your proof of concept, without the data!

In this article, learn one of the sought out skills for data scientists -how to generate random datasets. We will see why to synthetic data generation is important and we will explore the various Python libraries to generate synthetic data. Introduction: Why Data Synthesis? Testing proof of concept As a...

Fixing ‘dirty data’ with Susan Walsh, the Classification Guru

Data classification gives visibility that uncovers fraud, rook spending or mismatched data 2021 is a year of harvesting for Susan Walsh - the fixer of dirty data!  After three and a half years of working tirelessly, her business - The Classification Guru - has finally taken off. She’s done with her...