Find your perfect holiday reading
Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence (Paperback)
  • Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence (Paperback)
zoom

Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence (Paperback)

(author), (author), (author), (author), (author)
£34.99
Paperback 340 Pages / Published: 31/10/2018
  • We can order this

Usually dispatched within 2 weeks

  • This item has been added to your basket

Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies

Key FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligence Suite architectureExplore ML Server using SQL Server and HDInsight capabilitiesImplement various tools in Azure to build and deploy machine learning modelsBook Description

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way.

The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft's Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you'll integrate patterns with other non-AI services in Azure.

By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.

What you will learnDiscover the benefits of leveraging the cloud for ML and AIUse Cognitive Services APIs to build intelligent botsBuild a model using canned algorithms from Microsoft and deploy it as a web serviceDeploy virtual machines in AI development scenariosApply R, Python, SQL Server, and Spark in AzureBuild and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlowImplement model retraining in IoT, Streaming, and Blockchain solutionsExplore best practices for integrating ML and AI functions with ADLA and logic appsWho this book is for

If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You'll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

Publisher: Packt Publishing Limited
ISBN: 9781789131956
Number of pages: 340
Dimensions: 92 x 75 mm

You may also be interested in...

Probabilistic Graphical Models
Added to basket
Thoughtful Machine Learning
Added to basket
Machine Learning
Added to basket
£39.99
Paperback
Introduction to Machine Learning
Added to basket
Machine Learning
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
The Elements of Statistical Learning
Added to basket
Machine Learning for Hackers
Added to basket
Understanding Machine Learning
Added to basket
Deep Learning
Added to basket
£47.99
Paperback
Machine Learning
Added to basket
£37.99
Paperback
Bayesian Reasoning and Machine Learning
Added to basket
Boosting
Added to basket
£30.00
Paperback

Please sign in to write a review

Your review has been submitted successfully.