Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
Limit search to available items
Results Page:  Previous Next
Author Soh, Julian, author.

Title Data science solutions on Azure : tools and techniques using databricks and MLOps / Julian Soh, Priyanshi Singh

Publication Info. [New York] : Apress, [2020]
Location Call No. Status
 Nichols Adult Nonfiction  006.7882 AZU 2020    DUE 09-30-21
QR Code
Description xiii, 285 pages : illustrations ; 24 cm
Note Includes index
Contents 1. Data science in the modern enterprise -- 2. Statistical techniques and concepts in data science -- 3. Data preparation and data engineering basics -- 4. Introduction to Azure machine learning -- 5. Hands-on with Azure machine learning -- 6. Apache Spark, Big Data, and Azure Databricks -- 7. Hands-on with Azure Databrikcs -- 8. Machine learning operations
Summary Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads. The book starts with an introduction to data science and discusses the statistical techniques data scientists should know. You'll then move on to machine learning in Azure where you will review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You'll also explore Azure Databricks and learn how to deploy, create and manage the same. In the final chapters you'll go through machine learning operations in Azure followed by the practical implementation of artificial intelligence through machine learning. Data Science Solutions on Azure will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. You will: Understand big data analytics with Spark in Azure Databricks ; Integrate with Azure services like Azure Machine Learning and Azure Synaps ; Deploy, publish and monitor your data science workloads with MLOps ; Review data abstraction, model management and versioning with GitHub
Subject Microsoft Azure (Computing platform)
Machine learning.
Added Author Singh, Priyanshi, author.
ISBN 9781484264041
Patron reviews: add a review
Click for more information
No one has rated this material

You can...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information