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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. Not only is data larger, but models—deep learning models in particular—are much larger than before. However, the concept is quite abstract.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. 2) MLOps became the expected norm in machine learning and data science projects. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

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Bringing ML to Agriculture: Transforming a Millennia-old Industry

Domino Data Lab

This article focuses on accelerating model development. Experimentation and collaboration are built into the core of the platform. We needed an “evolvable architecture” which would work with the next deep learning framework or compute platform. Domino shines in reproducibility and discovery. Why Petastorm?

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Comparing the Functionality of Open Source Natural Language Processing Libraries

Domino Data Lab

A good NLP library will, for example, correctly transform free text sentences into structured features (like cost per hour and is diabetic ), that easily feed into a machine learning (ML) or deep learning (DL) pipeline (like predict monthly cost and classify high risk patients ). Image Credit: Parsa Ghaffari on the Raylien Blog.

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Machine Learning is Handy with Content Writing but Expectations Must Be Mediated

Smart Data Collective

What’s Machine Learning Used for Today? Machine learning is being used to write articles in the mainstream news media. The acquired logic of artificial intelligence is sufficient to produce an article on some sports news, but the results are extremely unoriginal. Conclusion.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning. Introduction. BTW, videos for Rev2 are up: [link]. Software writes Software?

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