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Hands-On Machine Learning with Azure
book

Hands-On Machine Learning with Azure

by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Ryan Murphy
October 2018
Intermediate to advanced
340 pages
7h 56m
English
Packt Publishing

Overview

Discover how to leverage the power of the cloud for advanced machine learning projects in 'Hands-On Machine Learning with Azure.' This book guides you through utilizing Microsoft's Azure ML and AI tools effectively, equipping you to tackle complex data scenarios and make impactful decisions. Whether you're enhancing models or developing AI-driven apps, you'll gain invaluable knowledge.

What this Book will help me do

  • Understand how to implement cloud-based machine learning and artificial intelligence effectively using Azure.
  • Learn to build and deploy intelligent, scalable models with Azure's advanced machine learning technologies.
  • Integrate Azure Cognitive Services APIs into applications for building smart bots and user-centric AI solutions.
  • Utilize tools like SQL Server, Python, and R with Azure's capabilities for powerful data processing.
  • Explore state-of-the-art AI practices like retraining models in IoT and using deep learning frameworks like TensorFlow.

Author(s)

None Abraham is a seasoned expert in machine learning and AI technologies. Parashar Shah and Jen Stirrup bring a wealth of practical knowledge in deploying scalable data solutions with Azure. Lauri Lehman and Anindita Basak contribute vast experience in data science and programming methodologies. Together, this team of authors aims to demystify AI for enterprises, showcasing real-world applications with clarity.

Who is it for?

This book is perfect for data scientists and developers looking to deepen their expertise in machine learning and AI, particularly in the Azure ecosystem. Readers should be familiar with fundamental programming languages like Python, R, or SQL and seek insight into deploying scalable AI solutions. It is especially suited for professionals with practical experience ready to implement complex models and services.

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Publisher Resources

ISBN: 9781789131956