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Can I read Deep Learning with Azure : Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform on EtoBox?

Deep Learning with Azure : Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform by Mathew Salvaris; Danielle Dean; Wee Hyong Tok is a nonfiction available to read on EtoBox.

What is Deep Learning with Azure : Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform about?

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of __should__ I build AI into my business, but more about __where__ do I begin and how do I get started with AI?Written by expert data scientists at Microsoft, __Deep Learning with the Microsoft AI Platform__ helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI.**What You'll Learn** * Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI * Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) * Understand the common deep learning models, includi

Who reads Deep Learning with Azure : Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Mathew Salvaris; Danielle Dean; Wee Hyong Tok
Publisher
Apress : Imprint: Apress
Published
2018
Language
EN
ISBN
9781484236789
Category
nonfiction
Subjects
Programming, Computer Science, Stem

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