Rust for Machine Learning (Early Release) by Marcos Silveira (.ePUB)+

File Size: 10 MB

Rust for Machine Learning: Learn AI Fundamentals and Build a Neural Network from Scratch (2026-07-23: Early Release) by Marcos Silveira
Requirements: .ePUB, .PDF reader, 10 MB
Overview: You don’t learn how neural networks work just by reading documentation—you learn by building one. Rust for Machine Learning invites you to move beyond high-level libraries and abstractions to explore the fundamentals of Machine Learning through hands-on coding. Along the way, you’ll gain a practical understanding of how AI systems work while learning Rust, one of today’s most powerful and expressive programming languages. Machine Learning refers to programs that learn to solve a specific task just by looking at data, rather than by following explicit coding rules. This data can be of all sorts: text, images, videos, voice recordings, spreadsheets, PDFs, tabular data, completely unstructured documents. The Machine Learning program then receives the examples of data as input and runs some internal process to learn the rules to solve that specific problem. And once the program learns the patterns on this data, it can be used to solve similar tasks on different data. It can classify the unseen data, search and extract information, or recognize patterns in new samples.
Genre: Non-Fiction > Tech & Devices

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