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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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Machine Learning

The role of model governance in machine learning and artificial intelligence

By David Weedmark

Machine Learning

GPU-accelerated CNNs with PyTorch for efficient training

By Nikolay Manchev

financial services icons in a data science environment
Data Science

Deep Learning & Machine Learning Applications in Financial Services

By Gourav Singh Bais

Model Management

High-standard ML validation with Deepchecks

By Noam Bressler

Machine Learning

Lightning fast CPU-based image captioning pipelines with Deep Learning and Ray

By Jennifer Davis

Machine Learning

Everything you need to know about feature stores

By Artem Oppermann

Data Science

Enhancing model accuracy with SMOTE oversampling techniques

By Nikolay Manchev

Machine Learning

N-shot and Zero-shot learning with Python

By Dr Behzad Javaheri

Data Science

Fitting gaussian process models in Python

By Chris Fonnesbeck

Code

Getting Started with OpenCV

By Dr Behzad Javaheri

Machine Learning

Speeding up Machine Learning with parallel C/C++ code execution via Spark

By Nikolay Manchev

Machine Learning

Semi-uniform strategies for solving K-armed bandits

By Nikolay Manchev

Perspective

Increasing model velocity for complex models by leveraging hybrid pipelines, parallelization and GPU acceleration

By Nikolay Manchev

Engineering

Tensorflow, PyTorch or Keras for Deep Learning

By Dr J Rogel-Salazar

Machine Learning

Supervised vs. unsupervised learning: What’s the difference?

By David Weedmark

Machine Learning

Computer Vision in Deep Learning: An Introductory Guide

By David Weedmark

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