Remove 2013 Remove Data Science Remove ML
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Master Vector Embeddings with Weaviate – A Comprehensive Series for You!

Data Science Dojo

To get you started, Data Science Dojo and Weaviate have teamed up to bring you an exciting webinar series: Master Vector Embeddings with Weaviate. We have carefully curated the series to empower AI enthusiasts, data scientists, and industry professionals with a deep understanding of vector embeddings.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

These organizations are shaping the future of the AI and data science industries with their innovative products and services. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Check them out below.

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Financial Market Challenges and ML-Supported Asset Allocation

ODSC - Open Data Science

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. Editor’s note: Peter Schwendner, PhD is a speaker for ODSC Europe this June.

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Build a multi-interface AI assistant using Amazon Q and Slack with Amazon CloudFront clickable references from an Amazon S3 bucket

AWS Machine Learning Blog

Developed by Todd Gamblin at the Lawrence Livermore National Laboratory in 2013, Spack addresses the limitations of traditional package managers in high-performance computing (HPC) environments. Brian Weston, Cloud Transformation for Mission Science Program Lead at LLNL, advised in the development of this assistant.

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sktime?—?Python Toolbox for Machine Learning with Time Series

ODSC - Open Data Science

Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!) sktime, the unified package for time series ML sktime supports many time series related learning tasks and objects! Classification? Annotation? Something else?

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. With increased access to data, ML has the potential to provide unparalleled business insights and opportunities.

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How Pattern PXM’s Content Brief is driving conversion on ecommerce marketplaces using AI

AWS Machine Learning Blog

Pattern was founded in 2013 and has expanded to over 1,700 team members in 22 global locations, addressing the growing need for specialized ecommerce expertise. Pattern has over 38 trillion proprietary ecommerce data points, 12 tech patents and patents pending, and deep marketplace expertise.

AWS 71