Machine Learning Engineering with MLflow: Manage the end-to-end machine learning life cycle with MLflow
Author:   Natu Lauchande
Publisher:   Packt Publishing Limited
ISBN:  

9781800560796


Pages:   248
Publication Date:   25 August 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Machine Learning Engineering with MLflow: Manage the end-to-end machine learning life cycle with MLflow


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Author:   Natu Lauchande
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800560796


ISBN 10:   1800560796
Pages:   248
Publication Date:   25 August 2021
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents Introducing MLflow Your Machine Learning Project Your Data Science Workbench Experiment Management in MLflow Managing Models with MLflow Introducing ML Systems Architecture Data and Feature Management Training Models with MLflow Deployment and Inference with MLflow Scaling Up Your Machine Learning Workflow Performance Monitoring Advanced Topics with MLflow

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Author Information

Natu Lauchande is a principal data engineer in the fintech space currently tackling problems at the intersection of machine learning, data engineering, and distributed systems. He has worked in diverse industries, including biomedical/pharma research, cloud, fintech, and e-commerce/mobile. Along the way, he had the opportunity to be granted a patent (as co-inventor) in distributed systems, publish in a top academic journal, and contribute to open source software. He has also been very active as a speaker at machine learning/tech conferences and meetups.

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