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Foundation Model for Personalized Recommendation

Netflix Tech

McAuley, Self-Attentive Sequential Recommendation, 2018 IEEE International Conference on Data Mining (ICDM) , Singapore, 2018, pp. Kang and J. 197206, doi: 10.1109/ICDM.2018.00035. 2018.00035. 14411450, doi: 10.1145/3357384.3357895.

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Recap of Hadoop News for January 2018

ProjectPro

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs.TechTarget.com, January 3, 2018. Zdnet.com, January 3, 2018 Apache Hadoop was built around the concept of cheap commodity infrastructure a decade ago but the latest release of Hadoop i.e. Hadoop 3.x Globalnewswire.com, January 5, 2018.

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Recap of Hadoop News for June 2018

ProjectPro

News on Hadoop - June 2018 RightShip uses big data to find reliable vessels.HoustonChronicle.com,June 15, 2018. Zdnet.com, June 18, 2018. also includes support for graphics processing units to execute hadoop jobs that involve AI and Deep learning workloads. Indiatimes.com, June 29, 2018. Apart from HDP 3.0

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Top Data Science Trends in 2024

Knowledge Hut

Advent of Deep Learning Simply put, deep learning is a machine learning technique that trains computers to think and act like humans i.e., by example. Ever since, deep learning models have proven their efficacy by exceeding human limitations and performance. What’s new for Deep Learning in 2024?

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Recap of Hadoop News for September 2018

ProjectPro

Source - [link] ) Master Hadoop Skills by working on interesting Hadoop Projects LinkedIn open-sources a tool to run TensorFlow on Hadoop.Infoworld.com, September 13, 2018. September 24, 2018. Source - [link] Mining equipment-maker uses BI on Hadoop to dig for data.TechTarget.com, September 26, 2018. from 2014 to 2020.With

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Shop the Look with Deep Learning

Zalando Engineering

Matching user photos to online products with robust deep features. Deep learning based large scale visual recommendation and search for e-commerce. International Conference on Pattern Recognition Applications and Methods (ICPRAM) , 2018. [13] International Conference on Multimedia Retrieval (ICMR) , 2016. [10] Shankar, S.

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Meta’s open AI hardware vision

Engineering at Meta

Grand Teton is designed with compute capacity to support the demands of memory-bandwidth-bound workloads, such as Meta’s deep learning recommendation models ( DLRMs ), as well as compute-bound workloads like content understanding.

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