Tools Every Data Scientist Should Know: A Practical Guide
KDnuggets
JULY 12, 2024
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.
KDnuggets
JULY 12, 2024
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.
databricks
JULY 12, 2024
Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.
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ArcGIS
JULY 12, 2024
Creation of a Digital Twin in Seven Days with ArcGIS in Zurich
KDnuggets
JULY 12, 2024
Debugging Docker containers is an essential skill when working with containerized applications. Let’s explore the different ways to debug Docker containers.
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.
ArcGIS
JULY 12, 2024
Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.
Precisely
JULY 12, 2024
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
JULY 12, 2024
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.
Towards Data Science
JULY 12, 2024
Data as a product is an intriguing concept, but beware of the application trap Continue reading on Towards Data Science »
Confluent
JULY 12, 2024
Discover how Alexri Patel-Sigmon helps amplify tech innovation with data streaming in her role as a customer marketing manager at Confluent.
Hevo
JULY 12, 2024
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.
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.
Edureka
JULY 12, 2024
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.
Hevo
JULY 12, 2024
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.
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