Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

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AWS Machine Learning Blog

DECEMBER 4, 2024

The US nationwide fraud losses topped $10 billion in 2023, a 14% increase from 2022. Build valuable AI apps faster with AWS and Tecton In this post, we walked through how SageMaker and Tecton enable AI teams to train and deploy a high-performing, real-time AI application—without the complex data engineering work.

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Data Science Dojo

OCTOBER 10, 2023

billion in 2022, and it is projected to reach approximately USD 2,575.16 AI and Big Data Expo – North America (May 17-18, 2023): This technology event is for enterprise technology professionals interested in the latest AI and big data advances and tactics. billion by 2032. Click below 2.

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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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AWS Machine Learning Blog

AUGUST 15, 2024

With over 50 connectors, an intuitive Chat for data prep interface, and petabyte support, SageMaker Canvas provides a scalable, low-code/no-code (LCNC) ML solution for handling real-world, enterprise use cases. Organizations often struggle to extract meaningful insights and value from their ever-growing volume of data.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Fatma Nur Dumlupınar Keşir received her Bachelor’s Degree from Industrial Engineering Department at Boğaziçi University. She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning.

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ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

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Flipboard

FEBRUARY 2, 2023

For the 2022 season, the NFL aimed to leverage player-tracking data and new advanced analytics techniques to better understand special teams. The data preprocessing and feature engineering was adapted from the winner of the NFL Big Data Bowl competition on Kaggle.

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AWS Machine Learning Blog

JUNE 26, 2023

To address this challenge, AWS introduced Amazon SageMaker Role Manager in December 2022. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

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AWS Machine Learning Blog

MAY 15, 2023

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

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AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ).

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Alation

JUNE 14, 2022

“Using Alation alongside Snowflake has enabled a step-change in our data governance capability and visibility of enterprise data for users across Spark NZ,” said Peter Langham, Domain Chapter Lead, Data Engineering at Spark NZ. “It Media: Billions of rows of new data each hour — that’s big data.

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Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. So we were thrilled to be recognized in 2022 as Snowflake’s Data Governance Partner of the Year.

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DagsHub

AUGUST 23, 2024

When bad data is inputted, it inevitably leads to poor outcomes. A coding error impacted credit scoring In 2022, Equifax - a major credit bureau - reported inaccurate credit scores for millions of consumers. In 2022, the company ingested bad data from one of its major customers. quality) for your data.

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Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Value in 2022 – $271.83 Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Value in 2022 – $18.10 Value in 2021 – $22.07

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ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

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DrivenData Labs

DECEMBER 11, 2024

The goal, as we wrote at the time , was to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on. What some in the sector may not realize is that data science is most often an R&D activity. It wasn't just us thinking about this.

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AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

The SageMaker Project Portfolio has SageMaker projects that data scientists and ML engineers can use to accelerate model training and deployment. The platform engineer shares the two Service Catalog portfolios with workload accounts in the organization. She currently supports customers in financial industry.

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Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

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Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Is more data always better?

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Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Is more data always better?

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Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Is more data always better?

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Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Compute, big data, large commoditized models—all important stages. BB: I think there are a number of situations in which we do get feedback from customers very quickly.

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Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Compute, big data, large commoditized models—all important stages. BB: I think there are a number of situations in which we do get feedback from customers very quickly.

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The MLOps Blog

AUGUST 11, 2023

1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., pandas, NumPy) 3 Feature Engineering and Selection (e.g., 2022, January 18). Retrieved from [link] Facebook Engineering: fSDP: A Fast and Scalable Distributed Parallel Programming Framework Facebook. 2021, July 15).

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