Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure

Author:   Sridhar Alla ,  Suman Kalyan Adari
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484265482


Pages:   330
Publication Date:   08 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure


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Author:   Sridhar Alla ,  Suman Kalyan Adari
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.528kg
ISBN:  

9781484265482


ISBN 10:   1484265483
Pages:   330
Publication Date:   08 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:   Getting Started: Data Analysis.- Chapter 2:  Building Models.- Chapter 3:   What Is MLOps?.- Chapter 4:  Introduction to MLFlow.- Chapter 5:  Deploying in AWS.- Chapter 6:  Deploying in Azure.- Chapter 7:  Deploying in Google.- Appendix A: a2ml.

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Author Information

Sridhar Alla is the co-founder and CTO of Bluewhale, which helps big and small organizations build AI-driven big data solutions and analytics. He is a published author of books and an avid presenter at numerous Strata, Hadoop World, Spark Summit, and other conferences. He also has several patents filed with the US PTO on large-scale computing and distributed systems. He has extensive hands-on experience in several technologies, including Spark, Flink, Hadoop, AWS, Azure, Tensorflow, Cassandra, and others. He spoke on Anomaly Detection Using Deep Learning at Strata SFO in March of 2019 and at Strata London in October of 2019. He was born in Hyderabad, India and now lives in New Jersey, USA with his wife Rosie and daughter Evelyn. When he is not busy writing code, he loves to spend time with his family and also training, coaching, and organizing meetups.  Suman Kalyan Adari is an undergraduate student pursuing a BS degree in computer science atthe University of Florida. He has been conducting deep learning research in the field of cybersecurity since his freshman year, and has presented at the IEEE Dependable Systems and Networks workshop on Dependable and Secure Machine Learning held in Portland, Oregon, USA in June of 2019. He is passionate about deep learning, and specializes in its practical uses in various fields such as image recognition, anomaly detection, natural language processing, targeted adversarial attacks, and more. 

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