machine_leanring_pipeline — Scriptorium Liberum

Operationalizing Machine Learning Pipeli

📁 Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps

✍ Vishwajyoti Pandey; Shaleen Bengani 📂 Library 📅 2022 🏛 BPB Publications 🌐 English

Practicing Trustworthy Machine Learning:

📁 Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines

✍ Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar 📂 Library 📅 2023 🏛 O'Reilly Media 🌐 English

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help developmen

Building Machine Learning Pipelines: Aut

📁 Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

✍ Hannes Hapke, Catherine Nelson 📂 Library 📅 2020 🏛 O'Reilly Media 🌐 English

<div>Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem.

Building Machine Learning Pipelines: Aut

📁 Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

✍ Hannes Hapke, Catherine Nelson 📂 Library 📅 2020 🏛 O'Reilly Media 🌐 English

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll lear

Practicing Trustworthy Machine Learning:

📁 Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines

✍ Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar 📂 Library 🏛 O'Reilly Media 🌐 English

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help d

Practicing Trustworthy Machine Learning:

📁 Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines

✍ Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar 📂 Library 🏛 O'Reilly Media 🌐 English

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help d