Subject archive for "model-development"

Data Science Teams

Boost Productivity with Generative Code Assistants

With our Fall 2023 release, a significant productivity boost is added to Domino by integrating Jupyter AI into Domino Workspaces.

By Yuval Zukerman6 min read

Machine Learning

Machine Learning Model Training: What It Is and Why It’s Important

Training a machine learning (ML) model is a process in which a machine learning algorithm is fed with training data from which it can learn. ML models can be trained to benefit businesses in numerous ways, by quickly processing huge volumes of data, identifying patterns, finding anomalies or testing correlations that would be difficult for a human to do unaided.

By David Weedmark8 min read

Machine Learning

A Guide to Machine Learning Model

Machine learning is a subset of artificial intelligence (AI) that uses algorithms to learn from trends, data sets and certain behaviors. This process involves the development of machine learning models that can answer questions, predict future outcomes and solve organizational problems.

By David Weedmark11 min read

Data Science

Bringing Machine Learning to Agriculture

At The Climate Corporation, we aim to help farmers better understand their operations and make better decisions to increase their crop yields in a sustainable way. We’ve developed a model-driven software platform, called Climate FieldView™, that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield. FieldView™ can incorporate grower-specific data, such as historical harvest data and operational data streaming in from special devices, including (our FieldView Drive) that are installed in tractors, combines, and other farming equipment. It incorporates public and third-party data sets, such as weather, soil, satellite, elevation data and proprietary data, such as genetic information of seed hybrids that we acquire from our parent company, Bayer.

By Jeff Melching10 min read

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