Solve your AI and machine learning problems using complete and
real-world code examples. Using a problem-solution approach, this book
makes deep learning and machine learning accessible to everyday
developers, by providing a combination of tools such as cognitive
services APIs, machine learning platforms, and libraries.
Along with an overview of the contemporary technology landscape,
Machine Learning and Deep Learning with Cognitive Computing Recipes
covers the business case for machine learning and deep learning.
Covering topics such as digital assistants, computer vision, text
analytics, speech, and robotics process automation this book offers a
comprehensive toolkit that you can apply quickly and easily in your own
projects. With its focus on Microsoft Cognitive Services offerings,
you'll see recipes using multiple different environments including
TensowFlow and CNTK to give you a broader perspective of the deep
learning ecosystem.
What You Will Learn
- Build production-ready solutions using Microsoft Cognitive Services
APIs
- Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit
(CNTK)
- Solve enterprise problems in natural language processing and computer
vision
- Discover the machine learning development life cycle - from formal
problem definition to deployment at scale
Who This Book Is For
Software engineers and enterprise architects who wish to understand
machine learning and deep learning by building applications and solving
real-world business problems.
