Subject archive for "practical-data-science-techniques," page 10

Machine Learning

Feature extraction and image classification using Deep Neural Networks and OpenCV

By Dr Behzad Javaheri
13 min read

Company Updates

Domino at NVIDIA GTC,  March 2023

By David Schulman
5 min read

Data Science

Python is the New Excel

By Kjell Carlsson
6 min read

Machine Learning

Machine learning model training: What it is and why it’s important

By David Weedmark
8 min read

NVIDIA's Mark Bennett

Meet an Advisor for Insurance AI Innovation: NVIDIA's Mark Bennett

By Domino Data Lab
5 min read

Company Updates

Domino University Data Science Accreditation for Partners

By Sid Khare
6 min read

MLOps Key to Creating AI Innovation Opportunities, says Northwestern Mutual’s Anju Gupta

By Domino Data Lab
5 min read

Meg Walters, Allstate in the Finance and Insurance Data Science Innovators Playbook

Advanced Analytics Innovator: Meg Walters at Allstate

By Domino Data Lab
5 min read

Data Science

Financial Services and Insurance: Driving Tomorrow’s Data Science Trends

By Domino Data Lab
5 min read

Health & Life Sciences: A Data Science Innovation Hub

By Sid Khare
5 min read

Data Science

Density-based clustering

By Manojit Nandi
28 min read

Machine Learning

Understanding transfer learning in deep learning

By David Weedmark
8 min read

Perspective

GSK: modernize clinical trial analytics & reporting to accelerate innovation

By Caroline Phares
7 min read

MLOps

The 7 Stages of MLOps Maturity:  How to Build Critical Capabilities that Maximize Data Science ROI

By Josh Poduska
13 min read

Data Science Innovators

What’s the Pharmaverse, and How Do Data Science Innovators Use It to Streamline Drug Approvals?

By Lisa Stapleton
3 min read

Code

Getting Started with Ray

By Nikolay Manchev
12 min read