AWS Machine Learning Blog

OCTOBER 20, 2023

Data scientists from ML teams across different business units federate into their team’s development environment to build the model pipeline. Data scientists search and pull features from the central feature store catalog, build models through experiments, and select the best model for promotion.

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ML Data Scientist ML Engineer Data Science 121

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

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LLM Data Platform Software Engineer Chatbots 146

deepsense.ai

MAY 8, 2023

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

Data Analysis 52

Data Analysis Data Scientist Big Data Data Platform 52

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

Data Science 52

Data Science Data Scientist Big Data Machine Learning 52

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Shut down the Studio app and relaunch for the changes to take effect.

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IDP Data Scientist Categorization Data Quality 123

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. She worked as a researcher at TUBITAK, focusing on time series forecasting & visualization.

Convolutional Neural Networks 120

Convolutional Neural Networks Algorithm Neural Network Data Science 120

Marktechpost

JUNE 5, 2024

You may use OpenRefine for more than just data cleaning; it can also help you find mistakes and outliers that could compromise your data’s quality. Apache Griffin Apache Griffin is an open-source data quality tool that aims to enhance big data processes.

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Data Quality Metadata Data Integration ETL 110

Marktechpost

JULY 17, 2023

Best predictive analytics tools and platforms H2O Driverless AI H2O, a relative newcomer to predictive analytics, became well-known thanks to a well-liked open source solution. IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate.

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Machine Learning Data Mining Data Scientist Data Science 98

AWS Machine Learning Blog

MAY 15, 2023

Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. She worked as a data scientist at Arcelik, focusing on spare-part recommendation models and age, gender, emotion analysis from speech data.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 79

AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud.

Data Extraction 120

Data Extraction Data Ingestion ML Machine Learning 120

Pickl AI

JUNE 12, 2023

With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. R’s workflow support enhances productivity and collaboration among data scientists.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

TransOrg Analytics

AUGUST 9, 2024

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

Machine Learning 52

Machine Learning ETL Big Data Data Quality 52

AWS Machine Learning Blog

MARCH 5, 2025

About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements. Rahul Jani is a Data Architect with AWS Professional Service. Beyond work, he values quality time with family and embraces opportunities for travel.

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Generative AI LLM AI AI 76

AWS Machine Learning Blog

AUGUST 3, 2023

If you don’t have ML expertise in your team or enough custom data to train a model, you could select the option that uses Amazon Rekognition. If you want more control over your model, would like to customize it further, and have enough data, you can choose the SageMaker solution. Srikrishna focuses on computer vision and NLP.

Computer Vision 71

Computer Vision Data Scientist ML Deep Learning 71

Artificial Corner

JUNE 6, 2023

Data per se wasn’t a mainstream industry in its own right yet, so we must first set up data capability and train employees into data engineers, architects and analysts who can operate in this new world. With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used.

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Big Data Data Mining Data Scientist Business Intelligence 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other big data solutions currently available.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

ODSC - Open Data Science

OCTOBER 9, 2024

Get your pass today !

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

By following these guidelines, data scientists can quantify the user experience delivered by their generative AI pipelines and communicate meaning to business stakeholders, facilitating ready comparisons across different architectures, such as Retrieval Augmented Generation (RAG) pipelines, off-the-shelf or fine-tuned LLMs, or agentic solutions.

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Generative AI LLM AI AI 89

Pickl AI

OCTOBER 6, 2024

Common ELT Tools and Technologies Several tools and technologies have emerged to facilitate the ELT process, each offering unique features to optimise data integration. Some popular ELT tools include: Google BigQuery: A serverless data warehouse that enables efficient data analysis.

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ETL Data Quality Data Integration Big Data 52

Pickl AI

APRIL 26, 2024

I would first perform exploratory data analysis to understand the data distribution and identify potential patterns or insights. Then, I would use sampling techniques or employ big data processing tools like Apache Spark to analyse the large dataset efficiently. Data Analytics Certification Course by Pickl.AI

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Data Analysis Machine Learning ETL Explainability 52

Flipboard

DECEMBER 4, 2024

It often requires multiple teams working together and integrating various data sources, tools, and services. For example, creating a targeted marketing app involves data engineers, data scientists, and business analysts using different systems and tools.

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ETL Business Intelligence Big Data Architect Machine Learning 138

Marktechpost

NOVEMBER 1, 2024

Tableau is a cost-effective option for businesses concentrating on data-driven storytelling and visualization, with options beginning at $12 per month. Microsoft Azure Machine Learning Data scientists can create, train, and implement models with Microsoft Azure Machine Learning, a cloud-based platform.

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Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

Pickl AI

DECEMBER 25, 2024

Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Together, these tools enable Data Scientists to tackle a broad spectrum of challenges.

Data Science 52

Data Science Data Scientist Machine Learning Algorithm 52