Smart Data Collective

JUNE 1, 2019

Big Data is taking center stage, and it is touted as one of the most groundbreaking technologies of the present time. The utilization of Big Data is not only limited to only one sector anymore. Instead, Big Data is used in various different sectors. How is Big Data benefiting the businesses?

Big Data 101

Big Data Big Data Big Data Analytics Big Data Analytics 101

Dataconomy

SEPTEMBER 4, 2023

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

DECEMBER 7, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He loves combining open-source projects with cloud services.

AWS 133

AWS Algorithm Machine Learning Machine Learning 133

AWS Machine Learning Blog

DECEMBER 4, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. She has worked on commercial, supply chain, and discovery-related projects.

AWS 129

AWS Predictive Analytics ML ML 129

AWS Machine Learning Blog

MAY 15, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He has worked on Personalization and Supply Chain related projects.

Algorithm 94

Algorithm Data Scientist Machine Learning Machine Learning 94

Mlearning.ai

JANUARY 26, 2023

Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. Achieving the full vision of Earth observation data cubes. Data, 4(3), 94.

AWS 98

AWS Database Clean Data Data Science 98