2010, Analytics and Data Analysis - Data Science Current

Business Analytics in Action: Driving Decisions with Data with Prof. Naveen Gudigantala by NW Chapter

Women in Big Data

APRIL 8, 2025

Women in Big Data, Pacific Northwest Chapter recently hosted an illuminating workshop led by Dr. Naveen Gudigantala , Silicon Valley Distinguished Professor at the University of Portland. The workshop began with an exploration of the fundamental concepts of business analytics and its evolution over time.

Exploratory Data Analysis

Exploratory Data Analysis Analytics Analytics Big Data

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. This will provision the backend infrastructure and services that the sales analytics application will rely on.

AWS

AWS AI AI SQL

34 new or updated datasets available on the Registry of Open Data on AWS

Flipboard

NOVEMBER 22, 2023

94-171) Noisy Measurement File (NMF) from United States Census Bureau 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File from United States Census Bureau 2010 Census Production Settings Redistricting Data (P.L.

AWS

AWS Machine Learning Machine Learning ML

Webinars

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

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Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. Then, we’ll end with my observations of two lessons for future analytics innovation. Self-service Analysis.

Tableau

Tableau ML ML Database

Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

APRIL 20, 2020

I’m also a part-time software developer for 11ants analytics. In 2009 and 2010, I participated the UCSD/FICO data mining contests. Based on the information and assumptions above, I decided to mainly use data points from 2007 and 2008 for training my classifiers, which turns out to be a reasonable choice.

Algorithm

Algorithm Data Mining Data Mining Data Mining

How artificial intelligence went from science fiction to science itself?

Dataconomy

JUNE 15, 2023

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. This can be attributed primarily to remarkable advancements in computer processing power and the availability of vast amounts of data. Big data encompasses data from various sources such as social media, sensors, transactions, and more.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. Then, we’ll end with my observations of two lessons for future analytics innovation. Self-service Analysis.

Tableau

Tableau ML ML Database

Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

OCTOBER 10, 2023

Federated analytics – Federated analytics provides statistical measurements of distributed datasets without violating privacy requirements. Federated analytics is important not only for data analysis across distributed datasets before training, but also for model monitoring at inference. He received his Ph.D.

AWS

AWS ML ML Algorithm

How does Facebook use Big Data?

Pickl AI

MAY 7, 2023

Data, analytics, AI, and robotics, today, the tech discussions revolve around these topics. One of them is the large volume of data that we are creating every day. Ways Facebook is Using Big Data Analysis of Text You would agree that a large volume of data is added to Facebook.

Big Data

Big Data Big Data Big Data Analytics Big Data Analytics

What is Tableau Public?

Tableau

SEPTEMBER 14, 2022

Tableau Public launched in 2010 with a mission to make data more accessible and a part of everyday conversations. It quickly enabled anyone with public data to not only see and understand it for themselves but also share those insights with others around the world. Advance your career .

Tableau

Tableau Data Visualization Analytics Analytics

What is Tableau Public?

Tableau

SEPTEMBER 14, 2022

Tableau Public launched in 2010 with a mission to make data more accessible and a part of everyday conversations. It quickly enabled anyone with public data to not only see and understand it for themselves but also share those insights with others around the world. Advance your career .

Tableau

Tableau Data Visualization Analytics Analytics

Slicers in Excel: A Guide to Enhancing Data Visualisation

Pickl AI

OCTOBER 29, 2024

Summary: Customising slicers in Excel enhances their functionality and visual appeal, improving user interaction with data. By adjusting styles, sizes, layouts, and settings, you can create a more engaging experience that facilitates effective Data Analysis and presentation, making reports easier to navigate and understand.

Data Analysis

Data Analysis Data Analysis Analytics Analytics

DXC transforms data exploration for their oil and gas customers with LLM-powered tools

AWS Machine Learning Blog

NOVEMBER 18, 2024

It uses the LLM’s ability to write Python code for data analysis. Some out-of-the-box data analysis tools, such as LangChain’s Pandas agent , are available in open source libraries. However, for certain data analysis tasks, it would be preferable to directly output the result of Python code.

Python

Python Machine Learning Machine Learning AI

How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL

SQL Database AWS AI

Data Science Current

Business Analytics in Action: Driving Decisions with Data with Prof. Naveen Gudigantala by NW Chapter

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Webinars

Trending Sources

34 new or updated datasets available on the Registry of Open Data on AWS

Webinars

Analyzing the history of Tableau innovation

Quan Sun on finishing in second place in Predict Grant Applications

How artificial intelligence went from science fiction to science itself?

Analyzing the history of Tableau innovation

Reinventing a cloud-native federated learning architecture on AWS

How does Facebook use Big Data?

What is Tableau Public?

What is Tableau Public?

Slicers in Excel: A Guide to Enhancing Data Visualisation

DXC transforms data exploration for their oil and gas customers with LLM-powered tools

How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases

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