How can you draw relevant conclusions without knowing anything about the underlying data? — Let’s say you dream about building your own fishing cabin along the lake. In your garage, you find a bunch of tools, a pile of wooden planks, various nails, and screws. Would you rather: a) Start immediately to build the walls, without checking if you have enough nails, a proper…

How to code the critical functions for Exploratory Data Analysis — Our (love-)story with Spark started when the company decided to venture into the exciting world of AI. Very quickly, we came across the Databricks platform and, after exploring it during a two-weeks POC, we were ready for the rumble. Starting to work on Spark can feel like we (almost) have…

Most firms that think they want advanced AI/ML really just need linear regression on cleaned-up data [Robin Hanson] — Beyond the sarcasm of this quote, there is a reality: of all the statistical techniques, regression analysis is often referred to as one of the most significant in business analysis. Most companies use regression analysis to explain a particular phenomenon, build forecasting or to make predictions. …

Avoid the most common pitfalls with this reading — Indexes are potent indicators for global and country-specific economies. They are massively used by governments and traders to formulate economic policies, refine external trade and measure changes in money value. Indexes are meant to reflect changes in a variable (or group of variables) regarding, for example, time or geographical location…

A quick overview of how it creates a unique listening experience. — 8D music sounds like we are talking about a new kind of audio technology coming straight from the future. In reality, this technology along with ambisonics existed since the ’70s, but never really took off. But all of a sudden, a message promoting the new music of the Pentatonix composed…

What you want to know about this powerful machine learning algorithm before to start — What is Random Forest? According to the official documentation: “A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. …