2014, Analytics and Clustering - Data Science Current

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

APRIL 5, 2024

This analytical model provides accurate estimates of land surface temperature (LST) at a granular level, allowing Gramener to quantify changes in the UHI effect based on parameters (names of indexes and data used). Solution overview Geobox aims to analyze and predict the UHI effect by harnessing spatial characteristics.

Clustering

Clustering ML ML AWS

What is the Snowflake Data Cloud and How Much Does it Cost?

phData

NOVEMBER 9, 2023

If you go back to 2014, data warehouse platforms were built using legacy architectures that had drawbacks when it came to cost, scale, and flexibility. Data Analytics: It supports complex data analytics workloads, enabling organizations to run ad-hoc queries, perform data exploration, and generate insights from their data.

Data Warehouse

Data Warehouse Data Lakes Clustering Cloud Data

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

JANUARY 13, 2023

They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. Finally, monitor and track the FL model training progression across different nodes in the cluster using the weights and biases (wandb) tool, as shown in the following screenshot.

AWS

AWS Analytics Analytics Machine Learning

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

MORE WEBINARS

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML

ML ML Data Scientist AWS

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. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

Tableau

Tableau ML ML Database

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. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

Tableau

Tableau ML ML Database

How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

OCTOBER 19, 2023

In our experience, graph databases make most sense if you’re running complex analytical or pathfinding queries with 4 or more traversals – that is, 4+ node ‘hops’ from your starting point – or simpler graph queries that require real-time processing. Transactional, analytical, or both…?

Database

Database Azure Analytics Analytics

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. These environments ranged from individual laptops and desktops to diverse on-premises computational clusters and cloud-based infrastructure.

ML

ML ML AWS AI

10 takeaways from 10 years of data science for social good

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution. Monica Rogatis Data Science Hierarchy of Needs.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Top 5 Use Cases of phData’s Advisor Tool

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

How to optimize your LinkedIn as a Data Scientist?

Pickl AI

MAY 16, 2023

Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. Skilled in programming languages such as Python, R, and SQL, and have worked on various projects involving predictive modeling, clustering, and classification. In fact, these industries majorly employ Data Scientists.

Data Scientist

Data Scientist Data Science SQL Python

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning Blog

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. Search index creation We use an OpenSearch cluster (OpenSearch Service domain) with t3.medium.search

AWS

AWS AI AI Machine Learning

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Tools and Techniques to Manage Unstructured Data Several tools are required to properly manage unstructured data, from storage to analytical tools. You also need the right technique to help manage unstructured data.

Machine Learning

Machine Learning Machine Learning Data Lakes AI

Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

Data Science

Data Science Machine Learning Machine Learning Natural Language Processing

Data Science Current

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

What is the Snowflake Data Cloud and How Much Does it Cost?

Webinars

Trending Sources

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Webinars

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

Analyzing the history of Tableau innovation

Analyzing the history of Tableau innovation

How to choose a graph database: we compare 6 favorites

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

10 takeaways from 10 years of data science for social good

Top 5 Use Cases of phData’s Advisor Tool

How to optimize your LinkedIn as a Data Scientist?

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

How to Manage Unstructured Data in AI and Machine Learning Projects

Must-Have Prompt Engineering Skills for 2024

Stay Connected