databricks

SEPTEMBER 25, 2024

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

Data 125

Data Data Science 125

KDnuggets

SEPTEMBER 25, 2024

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

Education 95

Education Data Technology Management 95

ArcGIS

SEPTEMBER 25, 2024

To publish different views of the same source data, alter map layer settings before you publish each web feature layer.

Data 88

Data Data Management Management 88

KDnuggets

SEPTEMBER 25, 2024

This tutorial introduces the basics of SQL querying with Google BigQuery. While very similar, BigQuery SQL has some syntax differences with standard SQL, some of which will be highlighted along the post. For those familiar with SQL, adapting to BigQuery should be pretty straightforward. Throughout examples, we will explore basic SELECT-FROM-WHERE queries and discover how.

SQL 86

SQL 86

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

Hevo

SEPTEMBER 25, 2024

Databricks is a popular and powerful unified analytics platform. It helps organizations streamline their data engineering, machine learning, and analytics tasks. As data grows and organizations understand the importance of data-driven decision-making, it becomes important to analyze and optimize the costs of data platforms being used carefully.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

KDnuggets

SEPTEMBER 25, 2024

Customer segmentation groups customers by their traits. This helps businesses know what different customers want and need. Using R, companies can easily segment their customers. This article will explain how to do customer segmentation with R. Introduction to Customer Segmentation Customer segmentation means splitting customers into different groups.

85

85

KDnuggets

SEPTEMBER 25, 2024

We are now on the 3rd edition of free courses that are actually free. We have covered AI and ML as well as Computer Science. We are now moving on to programming. Programming is very similar to computer science, therefore you might see very similar courses. We already know that Python is one of the.

Programming 96

Programming Computer Science Python 96

Hevo

SEPTEMBER 25, 2024

The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. It tells us how well a dataset meets certain criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and fitness for purpose.

Data Warehouse 40

Data Warehouse High Quality Data Datasets Data 40

KDnuggets

SEPTEMBER 25, 2024

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. Effective predictions allow for early intervention, personalized treatments, and improved outcomes. However, traditional models often struggle to account for the complexities of human health.

Healthcare 17

Healthcare Machine Learning IT 17

Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis. An example of a data pipeline structure.

Data Lake 52

Data Lake Food Google Cloud AWS 52

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project