Книга Machine Learning in Elixir Sean Moriarity

Machine Learning in Elixir

Автор: Sean Moriarity
Език: Английски език
Корици: С меки корици
Издател: Pragmatic Bookshelf
Наличност: Външен склад
Изпращаме след 10-18 дни
52.28 102.26 лв
Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powere...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2024
страници
400
EAN
9798888650349
Enbook ID
45816046
Издател
Теглоt
696

Пълно описание

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.


What You Need:


You'll need a computer with a working installation of Elixir v1.12 and Erlang/OTP 24. For some of the more compute intensive examples, you'll want to use EXLA, which currently only supports x86-64 platforms. While not explicitly required, some examples will demonstrate programs running on accelerators such as CUDA/ROCm enabled GPUs and Google TPUs. Most of these programs will still run fine on a regular CPU, just for much longer periods of time.

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