How Long to Read Computer Vision on AWS

How Long Does it Take to Read Computer Vision on AWS?

It takes the average reader 5 hours and 29 minutes to read Computer Vision on AWS by Lauren Mullennex

Assuming a reading speed of 250 words per minute. Learn more

Description

Develop scalable computer vision solutions for real-world business problems and discover scaling, cost reduction, security, and bias mitigation best practices with AWS AI/ML services Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to quickly deploy and automate end-to-end CV pipelines on AWS Implement design principles to mitigate bias and scale production of CV workloads Work with code examples to master CV concepts using AWS AI/ML services Book Description Computer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models. You'll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that'll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads. By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services. What you will learn Apply CV across industries, including e-commerce, logistics, and media Build custom image classifiers with Amazon Rekognition Custom Labels Create automated end-to-end CV workflows on AWS Detect product defects on edge devices using Amazon Lookout for Vision Build, deploy, and monitor CV models using Amazon SageMaker Discover best practices for designing and evaluating CV workloads Develop an AI governance strategy across the entire machine learning life cycle Who this book is for If you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.

How long is Computer Vision on AWS?

Computer Vision on AWS by Lauren Mullennex is 324 pages long, and a total of 82,296 words.

This makes it 109% the length of the average book. It also has 101% more words than the average book.

How Long Does it Take to Read Computer Vision on AWS Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 29 minutes to read Computer Vision on AWS aloud.

What Reading Level is Computer Vision on AWS?

Computer Vision on AWS is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Computer Vision on AWS?

Computer Vision on AWS by Lauren Mullennex is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Computer Vision on AWS by Lauren Mullennex on Amazon click the button below.