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Data Science

Evaluating Ray for distributed Python computing and massive scalability

By Dean Wampler

Data Science

Data Drift Detection for Image Classifiers

By Subir Mansukhani

Data Science

Building interactive dashboards with Jupyter Notebook

By roos

Addison-Wesley Professional

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

By Domino

Data Science

Understanding Causal Inference

By Domino

Data Science

Better interactive data science with Beaker and Rodeo

By Nick Elprin

Data Science

Exploring US Real Estate Values with Python

By John Joo

Code

SHAP and LIME Python libraries: Part 2 - using SHAP and LIME

By Josh Poduska

Code

SHAP and LIME Python Libraries: Part 1 - Great Explainers, with Pros and Cons to Both

By Josh Poduska

Data Science

Creating interactive crime maps with Folium

By roos

Data Science

Building a Domino Web App with Dash

By Randi R. Ludwig

Data Science

Multicore Data Science with R and Python

By Eduardo Ariño de la Rubia

Data Science

Sampling Based Methods for Class Imbalance in Datasets

By Manojit Nandi

Data Science

Achieving Reproducibility with Conda and Domino Environments

By Eduardo Ariño de la Rubia

Data Science

Python for SAS users: the Pandas data analysis library

By Randy Betancourt

Data Science

Using k-Nearest Neighbors (k-NN) in Production

By Sheila Doshi

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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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