Название: Machine Learning in Elixir: Learning to Learn with Nx and AxonАвтор: Sean Moriarity
Издательство: Pragmatic Bookshelf
Год: September 2024 (P1.0)
Страниц: 374
Язык: английский
Формат: epub
Размер: 10.1 MB
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.
Elixir is a dynamic, functional, general-purpose programming language that targets the BEAM virtual machine. It’s proven itself as a capable language for building and maintaining scalable applications. But Elixir wasn’t designed with machine learning in mind. Prior to the Nx[1] project, machine learning in Elixir was, at the very least, ill-advised. The BEAM virtual machine wasn’t designed to perform the type of heavy lifting that machine learning requires. However, Nx and the ecosystem around it were built to enable Elixir programmers to perform the computationally expensive work required for machine learning applications. Elixir and Nx are new players in the machine learning field. While the Nx ecosystem has no aim to overtake the established Python machine learning ecosystem, understanding machine learning in Elixir has numerous benefits.
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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