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    About Domino

    Choosing the right Machine Learning Framework

    Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and...
    Engineering Engineering Featured Compute Environments Machine Learning High-Performance Computing PyTorch TensorFlow Machine

    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...
    Data Science Data Science Featured Homepage Featured Main biorankings Practical Techniques Best Practices Data Science Leaders at Work Practical Techniques Featured data

    Bringing ML to Agriculture: Transforming a Millennia-old Industry

    Guest post by Jeff Melching from The Climate Corporation At The Climate Corporation, we aim to help farmers better understand their operations and...
    Data Science Code AWS Homepage Featured Main Machine Learning Practical Techniques Model Production Data Science Education Data Scientists Best Practices Feature Engineering Climate data Model Development model

    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)...
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    Evaluating Generative Adversarial Networks (GANs)

    This article provides concise insights into GANs to help data scientists and researchers assess whether to investigate GANs further. If you are...
    Data Science Homepage Featured Main Model Management Machine Learning Machine Learning Engineer Deep Learning Generative Adversarial Networks GANs

    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...
    Addison-Wesley Professional Code Engineering Machine Learning KNN Practical Techniques Python Practical Techniques Featured data

    Clustering in R

    This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available. Introduction Clustering is...
    Addison-Wesley Professional Code Data Science Featured Machine Learning Hierarchical Clustering Clustering Practical Techniques R Partitioning Around Medoids data PAM K-medoids K-means clustering

    Understanding Causal Inference

    This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data...
    Addison-Wesley Professional Data Science Causal Inference Model Management Machine Learning Practical Techniques Python Model Context Model Development

    Time Series with R

    This article delves into methods for analyzing multivariate and univariate time series data. A complementary Domino project is available. Introduction
    Addison-Wesley Professional Data Science Code Autocorrelation ARMA Practical Techniques R GARCH Time Series Practical Techniques Featured data model

    Announcing Trial and Domino 3.5: Control Center for Data Science Leaders

    Even the most sophisticated data science organizations struggle to keep track of their data science projects. Data science leaders want to know, at...
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    Announcing Domino 3.4: Furthering Collaboration with Activity Feed

    Our last release, Domino 3.3 saw the addition of two major capabilities: Datasets and Experiment Manager. “Datasets”, a high-performance, revisioned...
    Data Science Engineering Collaboration Activity Feed Model Management Domino Product Domino Data Scientists data Model Development

    Comparing the Functionality of Open Source Natural Language Processing Libraries

    In this guest post, Maziyar Panahi and David Talby provide a cheat sheet for choosing open source NLP libraries. What do natural language processing...
    Data Science Machine Learning CoreNLP Practical Techniques NLTK spaCy Spark NLP NLP Open Source OpenNLP

    Manipulating Data with dplyr

    Special thanks to Addison-Wesley Professional for permission to excerpt the following "Manipulating data with dplyr" chapter from the book, ...
    Addison-Wesley Professional Data Science Code Practical Techniques R dplyr Model Development

    Announcing Domino 3.3: Datasets and Experiment Manager

    Our mission at Domino is to enable organizations to put models at the heart of their business. Models are so different from software — e.g., they...
    Data Science Engineering Model Management Data Science Teams Domino Product Domino Datasets Data Scientists Experiment Manager Model Development

    Highlights from the Maryland Data Science Conference: Deep Learning on Imagery and Text

    Niels Kasch, cofounder of Miner & Kasch, an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the ...
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