AWS Machine Learning Blog

DECEMBER 4, 2023

With SageMaker, data scientists and developers can quickly and effortlessly build and train ML models, and then directly deploy them into a production-ready hosted environment. She joined Getir in 2022, and has been working as a Data Scientist. SageMaker is a fully managed ML service.

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AWS Machine Learning Blog

DECEMBER 7, 2023

She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning. Emre Uzel received his Master’s Degree in Data Science from Koç University. Emre Uzel received his Master’s Degree in Data Science from Koç University.

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AWS Machine Learning Blog

MAY 15, 2023

She worked as a data scientist at Arcelik, focusing on spare-part recommendation models and age, gender, emotion analysis from speech data. She then joined Getir in 2022 as a Senior Data Scientist working on forecasting and search engine projects. He joined Getir in 2021, and has been working as a Data Scientist.

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Towards AI

FEBRUARY 21, 2023

To make this easier, businesses must create an organized data storage and retrieval system. Storage tools like data warehouses and data lakes will help efficiently store the data, streamlining both retrieval and analysis. The analysis helps to identify patterns and trends that can provide actionable insights.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

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Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

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Pickl AI

APRIL 6, 2023

Data Engineering is one of the most productive job roles today because it imbibes both the skills required for software engineering and programming and advanced analytics needed by Data Scientists. How to Become an Azure Data Engineer? Data Warehousing concepts and knowledge should be strong.

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Pickl AI

JULY 6, 2023

Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than data ingestion. Thus ensuring optimal performance. Schema-on-Read Unlike traditional databases, Hive follows a schema-on-read approach.

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