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 /
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2020.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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... |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 1800206992 9781800206991 |
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| spelling | Arankalle, Chinmay, author. 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 / Chinmay Arankalle [and five others]. Birmingham, UK : Packt Publishing, 2020. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from cover (Safari, viewed November 5, 2020). Includes bibliographical references. 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... Artificial intelligence Data processing. http://id.loc.gov/authorities/subjects/sh85008182 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Storage area networks (Computer networks) http://id.loc.gov/authorities/subjects/sh2001003093 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information Systems https://id.nlm.nih.gov/mesh/D007256 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Intelligence artificielle Informatique. Systèmes d'information. Réseaux de stockage (Informatique) Apprentissage automatique. Artificial intelligence Data processing fast Information storage and retrieval systems fast Machine learning fast Storage area networks (Computer networks) fast has work: The artificial intelligence infrastructure workshop (Text) https://id.oclc.org/worldcat/entity/E39PCFJ7G3BGYfYb7VjQMBTpdP https://id.oclc.org/worldcat/ontology/hasWork Print version: 1800209843 9781800209848 (OCoLC)1162845171 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2581634 Volltext |
| spellingShingle | Arankalle, Chinmay 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 / Artificial intelligence Data processing. http://id.loc.gov/authorities/subjects/sh85008182 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Storage area networks (Computer networks) http://id.loc.gov/authorities/subjects/sh2001003093 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information Systems https://id.nlm.nih.gov/mesh/D007256 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Intelligence artificielle Informatique. Systèmes d'information. Réseaux de stockage (Informatique) Apprentissage automatique. Artificial intelligence Data processing fast Information storage and retrieval systems fast Machine learning fast Storage area networks (Computer networks) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85008182 http://id.loc.gov/authorities/subjects/sh85066163 http://id.loc.gov/authorities/subjects/sh2001003093 http://id.loc.gov/authorities/subjects/sh85079324 https://id.nlm.nih.gov/mesh/D007256 https://id.nlm.nih.gov/mesh/D000069550 |
| title | 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 / |
| title_auth | 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 / |
| title_exact_search | 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 / |
| title_full | 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 / Chinmay Arankalle [and five others]. |
| title_fullStr | 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 / Chinmay Arankalle [and five others]. |
| title_full_unstemmed | 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 / Chinmay Arankalle [and five others]. |
| title_short | The artificial intelligence infrastructure workshop : |
| title_sort | artificial intelligence infrastructure workshop build your own highly scalable and robust data storage systems that can support a variety of cutting edge ai applications |
| title_sub | build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications / |
| topic | Artificial intelligence Data processing. http://id.loc.gov/authorities/subjects/sh85008182 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Storage area networks (Computer networks) http://id.loc.gov/authorities/subjects/sh2001003093 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information Systems https://id.nlm.nih.gov/mesh/D007256 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Intelligence artificielle Informatique. Systèmes d'information. Réseaux de stockage (Informatique) Apprentissage automatique. Artificial intelligence Data processing fast Information storage and retrieval systems fast Machine learning fast Storage area networks (Computer networks) fast |
| topic_facet | Artificial intelligence Data processing. Information storage and retrieval systems. Storage area networks (Computer networks) Machine learning. Information Systems Machine Learning Intelligence artificielle Informatique. Systèmes d'information. Réseaux de stockage (Informatique) Apprentissage automatique. Artificial intelligence Data processing Information storage and retrieval systems Machine learning |
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