scalability – Page 3 – Andrew Fairless, Ph.D.

What I Read: How to Train Really Large Models

By Andrew Fairless on October 26, 2021October 16, 2021

https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html How to Train Really Large Models on Many GPUs?Sep 24, 2021Lilian Weng “How to train large and deep neural networks is challenging, as it demands a large amount ofContinue readingWhat I Read: How to Train Really Large Models

What I Read: Systems for Machine Learning

By Andrew Fairless on September 14, 2021August 20, 2021

https://thegradient.pub/systems-for-machine-learning/ Systems for Machine LearningKabir Nagrecha14.Aug.2021 “Machine learning’s increasing importance to real-world applications brought awareness of a new field focused on ML in practice – machine learning systems (or, asContinue readingWhat I Read: Systems for Machine Learning

What I Read: The one data platform to rule them all

By Andrew Fairless on August 26, 2021August 17, 2021

https://leighmariebraswell.substack.com/p/the-one-data-platform-to-rule-them The one data platform to rule them all… but according to whom?An overview of recent data startups based on popular end usersLeigh Marie BraswellJul 20 “…seeing so many “dataContinue readingWhat I Read: The one data platform to rule them all

What I Read: Understanding Key-Value Databases

By Andrew Fairless on April 29, 2021April 10, 2021

https://www.kdnuggets.com/2021/04/nosql-explained-understanding-key-value-databases.html NoSQL Explained: Understanding Key-Value DatabasesBy Alex Williams, Hosting Data UK “Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicityContinue readingWhat I Read: Understanding Key-Value Databases

What I Read: AutoML, Multi-task learning, Multi-tower models, Ads

By Andrew Fairless on April 20, 2021April 3, 2021

https://medium.com/pinterest-engineering/how-we-use-automl-multi-task-learning-and-multi-tower-models-for-pinterest-ads-db966c3dc99e How we use AutoML, Multi-task learning and Multi-tower models for Pinterest AdsPinterest EngineeringAug 19, 2020Ernest Wang | Software Engineer, Ads Ranking “In this blog post, we explain how keyContinue readingWhat I Read: AutoML, Multi-task learning, Multi-tower models, Ads

What I Watch: Why Distributed Systems Are Hard

By Andrew Fairless on March 20, 2021March 7, 2021

https://youtu.be/w9GP7MNbaRc Why Distributed Systems Are HardJul 15, 2020InfoQ “Denise Yu covers a brief history of distributed computing, presents a survey of key academic contributions to distributed systems theory… and digsContinue readingWhat I Watch: Why Distributed Systems Are Hard

What I Read: Long Live Data Discovery

By Andrew Fairless on March 1, 2021March 1, 2021

https://towardsdatascience.com/data-catalogs-are-dead-long-live-data-discovery-a0dc8d02bd34 Data Catalogs Are Dead; Long Live Data DiscoveryWhy we need to rethink our approach to metadata management and data governanceBarr MosesDec 14 “Traditional data catalogs and governance methodologies typicallyContinue readingWhat I Read: Long Live Data Discovery

What I Read: MLOps Changing How Machine Learning Models Developed

By Andrew Fairless on February 26, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html MLOps Is Changing How Machine Learning Models Are DevelopedBy Henrik Skogstrom, Head of Growth at Valohai “Let’s look at three ways that MLOps changes how machine learning is developed:Continue readingWhat I Read: MLOps Changing How Machine Learning Models Developed

What I Read: Approximate Nearest Neighbor Search in Vespa

By Andrew Fairless on February 21, 2021January 26, 2021

https://blog.vespa.ai/approximate-nearest-neighbor-search-in-vespa-part-1/ Approximate Nearest Neighbor Search in Vespa – Part 1Geir StorliPrinciple Vespa Engineer “Searching for the nearest neighbors of a data point in a high dimensional vector space is anContinue readingWhat I Read: Approximate Nearest Neighbor Search in Vespa

What I Watch: Functional Data Engineering

By Andrew Fairless on February 19, 2021January 18, 2021

https://youtu.be/4Spo2QRTz1k Functional Data Engineering – A Set of Best Practices | LyftMay 24, 2018 “…we’ll discuss functional programming paradigm and explore how applying it to Data Engineering can bring aContinue readingWhat I Watch: Functional Data Engineering

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