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    Accelerating model velocity through Snowflake Java UDF integration

    Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to...

    Faster data exploration in Jupyter through Lux

    Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process...

    Performing Non-Compartmental Analysis with Julia and Pumas AI

    When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g., clearance,...

    Analyzing Large P Small N Data - Examples from Microbiome

    Guest Post by Bill Shannon, Co-Founder and Managing Partner of BioRankings Introduction High throughput screening technologies have been developed to...

    The Curse of Dimensionality

    Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings Danger of Big Data Big data is the rage. This could be lots of rows (samples)...

    Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

    This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider...

    Time Series with R

    This article delves into methods for analyzing multivariate and univariate time series data. A complementary Domino project is available. Introduction

    MNIST Expanded: 50,000 New Samples Added

    This post provides a distilled overview regarding the rediscovery of 50,000 samples within the MNIST dataset.  MNIST: The Potential Danger of...

    Learn from the Reproducibility Crisis in Science

    Key highlights from Clare Gollnick’s talk, “The limits of inference: what data scientists can learn from the reproducibility crisis in science”, are...