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Data Science in Agriculture: Roles, Application, Examples

Knowledge Hut

The implementation of Data Science in agriculture is truly groundbreaking for farmers globally. Recent press claims that the DATOS Project used data from remote sensing along with artificial intelligence, machine learning, and other approaches to Data Science for agriculture. Are available online.

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Building Linked Data Products With JSON-LD

Data Engineering Podcast

In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Datafold integrates with dbt, the modern data stack, and seamlessly plugs in your data CI for team-wide and automated testing. With Materialize, you can! What is JSON-LD?

Building 189
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Technical Learning at Lyft: Build a Strong Data Science Team

Lyft Engineering

To support and empower our data scientists, Lyft’s Technical Learning Council (TLC) provides diverse and high-quality continuous learning opportunities to hone their technical skills. Data science is a multidisciplinary field that combines knowledge in statistics, computer science, machine learning, causal inference and many more.

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Defining A Strategy For Your Data Products

Data Engineering Podcast

With the broader audience comes the need to present data in a more approachable format. This has led to the broad adoption of data products being the delivery mechanism for information. In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products.

BI 162
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Spatial Data Science: Elements, Use Cases, Applications

Knowledge Hut

In the world of data science, Spatial data science is at the heart of contributing to solving planet-threatening problems such as deciding the location of solar park installation, building urban resilience, predicting crop yield, population density analysis for immunization or disease mapping, and more.

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Differences Between Business Intelligence vs Data Science

Knowledge Hut

Data Science and Business intelligence are popular terms in every business domain these days. Though both have data as the fundamental aspect, their uses, and operations vary. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.