Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Dataversity

DECEMBER 20, 2021

Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). The post Tales of Data Modelers appeared first on DATAVERSITY. The post Tales of Data Modelers appeared first on DATAVERSITY.

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Flipboard

JULY 13, 2023

Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital …

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Data Warehouse Data Modeling Data Models Big Data 123

Towards AI

NOVEMBER 12, 2024

But with this rapid growth comes a key challenge: ensuring that AI-generated information is precise, trustworthy, and free from “hallucinations”. In AI, hallucinations refer to errors where the model generates incorrect or invented information.

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Dataversity

MAY 29, 2023

A unified data model allows businesses to make better-informed decisions. By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. appeared first on DATAVERSITY.

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Data Modeling Data Models 90

Data Science Dojo

MAY 10, 2023

In the current landscape, data science has emerged as the lifeblood of organizations seeking to gain a competitive edge. As the volume and complexity of data continue to surge, the demand for skilled professionals who can derive meaningful insights from this wealth of information has skyrocketed.

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phData

JUNE 13, 2023

While the front-end report visuals are important and the most visible to end users, a lot goes on behind the scenes that contribute heavily to the end product, including data modeling. In this blog, we’ll describe data modeling and its significance in Power BI. What is Data Modeling?

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Flipboard

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries.

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Flipboard

JULY 24, 2023

Researchers from many universities build open-source projects which contribute to the development of the Data Science domain. It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS.

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Dataconomy

JUNE 10, 2022

The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. According to IDC, 80% of all data by 2025. That makes it difficult to store and manage in a standard relational database.

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Data Science Dojo

FEBRUARY 6, 2025

It is a fundamental step in AI training as it provides the necessary context and structure that models need to learn from raw data. It enables AI systems to recognize patterns, understand them, and make informed predictions. Video Annotation It is similar to image annotation but is applied to video data.

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Flipboard

FEBRUARY 14, 2023

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge.

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Data Modeling Data Models Database Big Data 123

Data Science Dojo

OCTOBER 31, 2024

Specialized Industry Knowledge The University of California, Berkeley notes that remote data scientists often work with clients across diverse industries. Whether it’s finance, healthcare, or tech, each sector has unique data requirements.

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Data Science Dojo

FEBRUARY 23, 2024

You can upload your data files to this GPT that it can then analyze. Once you provide relevant prompts of focus to the GPT, it can generate appropriate data visuals based on the information from the uploaded files. Other than the advanced data analysis, it can also deal with image conversions.

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Data Science Dojo

APRIL 18, 2023

Whether you’re located anywhere in the world or belong to any profession, you can still develop the expertise needed to be a skilled data analyst. Who are data analysts? Data analysts are professionals who use data to identify patterns, trends, and insights that help organizations make informed decisions.

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Data Science Dojo

FEBRUARY 9, 2023

From data discovery and cleaning to report creation and sharing, we will delve into the key steps that can be taken to turn data into decisions. A data analyst is a professional who uses data to inform business decisions. Check out this course and learn Power BI today!

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Data Science Dojo

AUGUST 19, 2024

To address the bias-variance trade-off: Regularization: Techniques like L1 and L2 regularization can help prevent overfitting by penalizing complex models. Ensemble methods: Combining multiple models can reduce variance and improve generalization. Model selection: Carefully selecting the appropriate model complexity for the given task.

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AI AI Machine Learning Machine Learning 357

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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Data Science Dojo

JULY 21, 2023

DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

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Data Science Dojo

JULY 21, 2023

DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

Data Analysis 195

Data Analysis Data Analysis Power BI Data Modeling 195

Dataconomy

MARCH 6, 2025

Data vault is not just a method; its an innovative approach to data modeling and integration tailored for modern data warehouses. As businesses continue to evolve, the complexity of managing data efficiently has grown. As businesses continue to evolve, the complexity of managing data efficiently has grown.

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Dataconomy

MARCH 17, 2025

The purpose of NLQ The main goal of NLQ is to democratize access to analytical tools, making it easier for users without a deep understanding of data management to derive insights. By simplifying the querying process, NLQ allows for quicker and more efficient information retrieval.

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Natural Language Processing Power BI Analytics Analytics 91

Data Science Connect

JANUARY 27, 2023

Understanding how data warehousing works and how to design and implement a data warehouse is an important skill for a data engineer. Learn about data modeling: Data modeling is the process of creating a conceptual representation of data.

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Data Engineer Data Engineering Data Engineering Data Engineering 130

AWS Machine Learning Blog

NOVEMBER 18, 2024

This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the right insurance coverage, while insurance aggregators and agents struggle to provide clear and accurate information.

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AI AI Database AWS 110

Flipboard

DECEMBER 22, 2024

Nature Biomedical Engineering - Foundation models can be advantageously harnessed to estimate missing data in multimodal biomedical datasets and to generate realistic synthetic samples.

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Data Modeling Data Models Machine Learning Machine Learning 78

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

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Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

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Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Dataconomy

OCTOBER 15, 2024

Forbes reports that global data production increased from 2 zettabytes in 2010 to 44 ZB in 2020, with projections exceeding 180 ZB by 2025 – a staggering 9,000% growth in just 15 years, partly driven by artificial intelligence. However, raw data alone doesn’t equate to actionable insights.

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Data Modeling Data Models Analytics Analytics 113

Data Science Dojo

SEPTEMBER 9, 2024

Fairness aims to prevent discrimination and bias in AI models, addressing risks where AI might reinforce harmful stereotypes or create unequal opportunities in areas like hiring, lending, or law enforcement. Security is about safeguarding AI systems from threats like adversarial attacks, model theft, and data tampering.

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Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

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Flipboard

NOVEMBER 21, 2024

These tools act as bridges, allowing models to retrieve application-specific, real-time or dynamic information […] The way to do that is with tools (sometimes referred to as function calling).

AI 170

AI AI Data Modeling Data Models 170

Dataversity

FEBRUARY 14, 2024

This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […] The post Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts appeared first on DATAVERSITY.

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Big Data Big Data Data Modeling Data Models 59

AWS Machine Learning Blog

DECEMBER 9, 2024

SageMaker with MLflow now supports AWS PrivateLink , which enables you to transfer critical data from your VPC to MLflow Tracking Servers through a VPC endpoint. We specify the security group and subnets information in VpcConfig. We specify the security group and subnets information in VpcConfig.

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Flipboard

JULY 26, 2023

Fact and dimension tables are crucial components of Power BI data models. Enhance your data analysis by learning their differences. In Power BI, fact …

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Power BI Data Analysis Data Analysis Data Modeling 123

DrivenData Labs

MARCH 26, 2024

One critical tool for understanding and improving the urgent challenges facing our world is Earth observation (EO) data, meaning data that is gathered in outer space about life here on Earth! Earth observation data provides accurate and free information on our atmosphere, oceans, ecosystems, land cover, and built environment.

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Power BI Data Scientist Python Machine Learning 264

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Other data science tasks include data preprocessing, visualization, and statistical analysis. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Flipboard

MARCH 17, 2025

Understanding Query Parameters Query parameters allow users to send additional information as part of the URL. Path parameters are used when the URL needs to include dynamic information, such as an ID or a name. Citation Information Martinez, H. They appear after the ? in the URL and are structured as key=value pairs.

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