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Why you should care about debugging machine learning models

O'Reilly on Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. There are several known attacks against machine learning models that can lead to altered, harmful model outcomes or to exposure of sensitive training data. [8] 2] The Security of Machine Learning. [3]

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. Why You Need To Read Data Science Books.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far). In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen.

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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Amazon Redshift made significant strides in 2024, rolling out over 100 features and enhancements. Industry-leading price-performance: Amazon Redshift launches RA3.large

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Top Companies to work for if you are a data scientist

Data Science 101

While data science is unquestionably a fantastic career path regarding the impressive ratings and the fact that it is such an in-demand job, statistics show that there will be no slowing down for the surprisingly rapid increase for the demand of data scientists around the globe. Checkout: Dataiku Careers. #2 2 StreamSets.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Learn more about the zero-ETL integrations, data lake performance enhancements, and other announcements below.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. You will see the Ray dashboard and statistics of the jobs and cluster running. Run the following command: /session.sh Waiting for connections.