Fri.Jul 12, 2024

article thumbnail

Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

article thumbnail

Patronus AI x Databricks: Training Models for Hallucination Detection

databricks

Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.

126
126
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Create a Digital Twin in Seven Days with ArcGIS

ArcGIS

Creation of a Digital Twin in Seven Days with ArcGIS in Zurich

article thumbnail

How To Debug Running Docker Containers

KDnuggets

Debugging Docker containers is an essential skill when working with containerized applications. Let’s explore the different ways to debug Docker containers.

article thumbnail

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

article thumbnail

Enhanced 3D Layers in ArcGIS

ArcGIS

Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.

Building 117
article thumbnail

Data Integrity vs. Data Quality: How Are They Different?

Precisely

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

More Trending

article thumbnail

Managing Python Dependencies with Poetry vs Conda & Pip

KDnuggets

Pip and Conda remain valuable choices for managing dependencies, with Conda's versatility in handling diverse dependencies. Poetry, on the other hand, provides a modernized and comprehensive solution, offering simplicity in managing Python projects and their dependencies.

Python 82
article thumbnail

Deliver Your Data as a Product, But Not as an Application

Towards Data Science

Data as a product is an intriguing concept, but beware of the application trap Continue reading on Towards Data Science »

article thumbnail

How Alexri Amplifies Tech Innovation as a Customer Marketing Manager

Confluent

Discover how Alexri Patel-Sigmon helps amplify tech innovation with data streaming in her role as a customer marketing manager at Confluent.

article thumbnail

Building Data Lake in Apache Iceberg with MySQL CDC

Hevo

Building a data lake for reporting, analytics, and machine learning needs has become general practice. Data lakes allow us to ingest data from multiple sources in their raw formats in real time. This will enable us to scale any data size and save time in defining its schema and transformations.

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

article thumbnail

What Is The Difference Between Mern Stack And Full Stack

Edureka

While Full Stack and MERN Stack development are two different concepts that belong to the field of web development, they point towards other sets of skills and technological applications. If individuals involved in software development and organization know the difference between the two, they can choose the most appropriate one to use in their projects.

MongoDB 40
article thumbnail

Top 10 Leading Data Lake Tools in 2024: Choose the Right One

Hevo

Are you looking for a data lake tool that is scalable, cost-efficient, and accessible, can store your business’s historical data, and can help you perform intelligent analytics? No worries. To lift the weight off your shoulders, I have compiled a list of data lake tools.