AWS Machine Learning Blog

DECEMBER 14, 2023

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. This post shows how we used SageMaker to build a large-scale data processing pipeline for preparing features for the job recommendation engine at Talent.com.

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AWS Machine Learning Blog

APRIL 19, 2023

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets.

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ODSC - Open Data Science

FEBRUARY 20, 2023

He gave the Inaugural IMS Grace Wahba Lecture in 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture in 2004. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. With watsonx.ai, data scientists can build, train and deploy machine learning models in a single collaborative studio environment. IBM watsonx.ai Explore watsonx.ai

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AWS Machine Learning Blog

JULY 15, 2024

Max Goff is a data scientist/data engineer with over 30 years of software development experience. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. She received her Ph.D. in Mechanical Engineering from the University of Notre Dame.

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AWS Machine Learning Blog

APRIL 6, 2023

We calculated the WAPE value of a model by splitting the data into test and validation sets. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

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DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively).

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Alation

FEBRUARY 20, 2020

It was about three years ago that we realized that the drivers of this revolution in data access, the sponsors of these catalogs, wouldn’t be the technologists in the organization. And we encourage you to check out their stories as you consider how providing greater accessibility with a data catalog can drive value for your organization. [1]

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DagsHub

JULY 25, 2024

In 2011, H2O.ai Companies like PayPal , Wells Fargo , and MarketAxess leverage H2O.ai's machine learning capabilities to drive data science initiatives. is suitable for enterprises and data scientists looking to accelerate their machine-learning workflows with automated tools and scalable solutions.

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Heartbeat

OCTOBER 9, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Here are some resources for more information: Hasibuan, Z. Ahmad, M., & Selviandro, N. Ekanayake, B.,

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Explosion

MARCH 17, 2019

In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use. Maybe you’re a grad student working on a paper, maybe you’re a data scientist working on a prototype.

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AWS Machine Learning Blog

JULY 20, 2023

One approach, known as ensemble modeling , has been rapidly gaining traction among data scientists and practitioners. As AI has evolved, we have seen different types of machine learning (ML) models emerge. In this post, we discuss what ensemble models are and why their usage can be beneficial. References [1] Raj Kumar, P.

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Heartbeat

JULY 27, 2023

jpg': {'class': 111, 'label': 'Ford Ranger SuperCab 2011'}, '00236.jpg': jpg': {'class': 102, 'label': 'Ferrari California Convertible 2012'}, Since this isn’t an article on data cleaning/preparation, for this initial step, I’m just going to show my code with comments.

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Flipboard

JANUARY 20, 2025

Those are just some of the insights that data scientist Vivek Anand extracts to inform decision makers at the Gap , a clothing company headquartered in San Francisco. As director of data science, Anandwho is based in Austin, Texasmanages a team that includes statisticians and operations research professionals.

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Hacker News

JULY 7, 2023

The series also touches on shocking new details unearthed by KrebsOnSecurity and Jeremy Bullock , a data scientist who worked with the show’s producers at the Warner Bros. The series features interviews with security experts and journalists, Ashley Madison executives, victims of the breach and jilted spouses.

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Dataconomy

MAY 20, 2025

milestone In 2011, Watson demonstrated its capabilities by winning Jeopardy!, This product helps organizations make sense of large volumes of unstructured data. Watson studio Watson Studio offers tools for data preparation, analysis, and machine learning model development, including automation features.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Data scientists and developers can quickly prototype and experiment with various ML use cases, accelerating the development and deployment of ML applications. When Jobs resigned in 2011 for health reasons, and died two months later, he was succeeded as CEO by Tim Cook. Apple became the first publicly traded U.S.

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