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
bExplore how a data storage system works - from data ingestion to representation/bh4Key Features/h4ulliUnderstand how artificial intelligence, machine learning, and deep learning are different from one another/liliDiscover the data storage requirements of different AI apps using case studies/liliExp...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bExplore how a data storage system works - from data ingestion to representation/bh4Key Features/h4ulliUnderstand how artificial intelligence, machine learning, and deep learning are different from one another/liliDiscover the data storage requirements of different AI apps using case studies/liliExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)/li/ulh4Book Description/h4Social 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.h4What you will learn/h4ulliGet to grips with the fundamentals of artificial intelligence/liliUnderstand the importance of data storage and architecture in AI applications/liliBuild data storage and workflow management systems with open source tools/liliContainerize your AI applications with tools such as Docker/liliDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)/liliUse the AWS CLI and AWS SDK to perform common data tasks/li/ulh4Who this book is for/h4If 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. |
| Beschreibung: | 1 Online-Ressource (732 Seiten) |
| ISBN: | 9781800206991 |
Internformat
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| 520 | |a bExplore how a data storage system works - from data ingestion to representation/bh4Key Features/h4ulliUnderstand how artificial intelligence, machine learning, and deep learning are different from one another/liliDiscover the data storage requirements of different AI apps using case studies/liliExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)/li/ulh4Book Description/h4Social 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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.h4What you will learn/h4ulliGet to grips with the fundamentals of artificial intelligence/liliUnderstand the importance of data storage and architecture in AI applications/liliBuild data storage and workflow management systems with open source tools/liliContainerize your AI applications with tools such as Docker/liliDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)/liliUse the AWS CLI and AWS SDK to perform common data tasks/li/ulh4Who this book is for/h4If 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. | ||
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| 650 | 4 | |a COMPUTERS / Intelligence (AI) & | |
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| 700 | 1 | |a Gera, Kunal |e Sonstige |4 oth | |
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| spelling | Arankalle, Chinmay Verfasser aut 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 Arankalle, Chinmay 1 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (732 Seiten) txt rdacontent c rdamedia cr rdacarrier bExplore how a data storage system works - from data ingestion to representation/bh4Key Features/h4ulliUnderstand how artificial intelligence, machine learning, and deep learning are different from one another/liliDiscover the data storage requirements of different AI apps using case studies/liliExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)/li/ulh4Book Description/h4Social 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.h4What you will learn/h4ulliGet to grips with the fundamentals of artificial intelligence/liliUnderstand the importance of data storage and architecture in AI applications/liliBuild data storage and workflow management systems with open source tools/liliContainerize your AI applications with tools such as Docker/liliDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)/liliUse the AWS CLI and AWS SDK to perform common data tasks/li/ulh4Who this book is for/h4If 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. COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics Dwyer, Gareth Sonstige oth Geerdink, Bas Sonstige oth Gera, Kunal Sonstige oth |
| 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 COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
| 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_exact_search_txtP | 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 Arankalle, Chinmay |
| 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 Arankalle, Chinmay |
| 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 Arankalle, Chinmay |
| title_short | The Artificial Intelligence Infrastructure Workshop |
| title_sort | 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_sub | Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications |
| topic | COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
| topic_facet | COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
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