Machine learning in Elixir: learning to learn with Nx and Axon
Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning t...
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
Pragmatic Bookshelf
[2024]
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Ausgabe: | [First edition]. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9798888651254/?ar |
Zusammenfassung: | Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir's Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you'll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more. The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time. Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models. Discover how to use machine learning to solve diverse problems from image recognition to content recommendation - all in your favorite programming language. |
Beschreibung: | Includes bibliographical references |
Umfang: | 1 Online-Ressource (374 Seiten) illustrations |
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spelling | Moriarity, Sean VerfasserIn aut Machine learning in Elixir learning to learn with Nx and Axon by Sean Moriarity [First edition]. [Place of publication not identified] Pragmatic Bookshelf [2024] 1 Online-Ressource (374 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir's Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you'll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more. The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time. Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models. Discover how to use machine learning to solve diverse problems from image recognition to content recommendation - all in your favorite programming language. Machine learning Elixir (Computer program language) Apprentissage automatique Elixir (Langage de programmation) |
spellingShingle | Moriarity, Sean Machine learning in Elixir learning to learn with Nx and Axon Machine learning Elixir (Computer program language) Apprentissage automatique Elixir (Langage de programmation) |
title | Machine learning in Elixir learning to learn with Nx and Axon |
title_auth | Machine learning in Elixir learning to learn with Nx and Axon |
title_exact_search | Machine learning in Elixir learning to learn with Nx and Axon |
title_full | Machine learning in Elixir learning to learn with Nx and Axon by Sean Moriarity |
title_fullStr | Machine learning in Elixir learning to learn with Nx and Axon by Sean Moriarity |
title_full_unstemmed | Machine learning in Elixir learning to learn with Nx and Axon by Sean Moriarity |
title_short | Machine learning in Elixir |
title_sort | machine learning in elixir learning to learn with nx and axon |
title_sub | learning to learn with Nx and Axon |
topic | Machine learning Elixir (Computer program language) Apprentissage automatique Elixir (Langage de programmation) |
topic_facet | Machine learning Elixir (Computer program language) Apprentissage automatique Elixir (Langage de programmation) |
work_keys_str_mv | AT moriaritysean machinelearninginelixirlearningtolearnwithnxandaxon |