Data Science Dojo

JUNE 7, 2023

The primary aim is to make sense of the vast amounts of data generated daily by combining statistical analysis, programming, and data visualization. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Flipboard

NOVEMBER 20, 2024

By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries. Knowledge base – You need a knowledge base created in Amazon Bedrock with ingested data and metadata.

AWS 160

AWS Natural Language Processing Machine Learning Machine Learning 160

Dataconomy

OCTOBER 15, 2024

I’ve found that while calculating automation benefits like time savings is relatively straightforward, users struggle to estimate the value of insights, especially when dealing with previously unavailable data. We were developing a data model to provide deeper insights into logistics contracts.

Data Modeling 113

Data Modeling Data Models Analytics Analytics 113

Iguazio

DECEMBER 14, 2023

With practical code examples and specific tool recommendations, the book empowers readers to implement the concepts effectively. After reading the book, ML practitioners and leaders will know how to deploy their ML models to production and scale their AI initiatives, while overcoming the challenges many other businesses are facing.

ML 52

ML ML Data Science Data Preparation 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Iguazio

FEBRUARY 8, 2024

To read more about LLMOps and MLOps, checkout the O’Reilly book “Implementing MLOps in the Enterprise” , authored by Iguazio ’s CTO and co-founder Yaron Haviv and by Noah Gift. LLMOps (Large Language Model Operations), is a specialized domain within the broader field of machine learning operations (MLOps). What is LLMOps?

ML 52

ML ML Data Scientist AI 52