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The Artificial Intelligence Infrastructure Workshop: Build your own highly scala

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Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781800209848
Book Title
The Artificial Intelligence Infrastructure Workshop
ISBN
9781800209848
Publication Year
2020
Type
Textbook
Format
Paperback
Language
English
Publication Name
The Artificial Intelligence Infrastructure Workshop: Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications
Item Height
235 mm
Author
Kevin Liao, Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Anand N.S., Kunal GERA
Publisher
Packt Publishing Limited
Subject
Computer Science
Item Width
191 mm
Number of Pages
518 Pages

About this product

Product Information

Explore how a data storage system works - from data ingestion to representation Key Features * Understand how artificial intelligence, machine learning, and deep learning are different from one another * Discover the data storage requirements of different AI apps using case studies * Explore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3) Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learn * Get to grips with the fundamentals of artificial intelligence * Understand the importance of data storage and architecture in AI applications * Build data storage and workflow management systems with open source tools * Containerize your AI applications with tools such as Docker * Discover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS) * Use the AWS CLI and AWS SDK to perform common data tasks Who This Book Is For If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.

Product Identifiers

Publisher
Packt Publishing Limited
ISBN-13
9781800209848
eBay Product ID (ePID)
7046443030

Product Key Features

Subject
Computer Science
Publication Year
2020
Number of Pages
518 Pages
Publication Name
The Artificial Intelligence Infrastructure Workshop: Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications
Language
English
Type
Textbook
Author
Kevin Liao, Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Anand N.S., Kunal GERA
Format
Paperback

Dimensions

Item Height
235 mm
Item Width
191 mm

Additional Product Features

Country/Region of Manufacture
United Kingdom
Title_Author
Kunal GERA, Chinmay Arankalle, Gareth Dwyer, Kevin Liao, Bas Geerdink, Anand N.S.

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Seller business information

VAT number: AU 82107909133, GB 293967539
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