GoLang for Machine Learning: A Hands-on-Guide by Evan Atkins (.PDF)

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File Size: 19.1 MB

GoLang for Machine Learning: A Hands-on-Guide to Building Efficient, Smart and Scalable ML Models with Go Programming by Evan Atkins
Requirements: .PDF reader, 19.1 MB
Overview: Go, the high-performance language from Google, is rapidly gaining traction in the Machine Learning (ML) world. Its speed, concurrency, and built-in features make it ideal for building efficient, scalable ML models. But where do you start? This book is written by a seasoned developer and Machine Learning expert, providing you with practical, hands-on guidance based on real-world experience. After reading this book, you’ll be equipped with the knowledge and tools to create robust, performant models without sacrificing clarity or maintainability. Hands-on projects covering various Machine Learning tasks, from regression and classification to image recognition and natural language processing. This book is designed for programmers with some coding experience who are interested in applying Go to Machine Learning. Whether you’re a data scientist, software engineer, or simply curious about Go’s potential, this guide will empower you to create impactful ML models. Stop struggling with slow, complex ML frameworks. Start building efficient, scalable models with Go. Get your copy of GoLang for Machine Learning today and embark on your journey to smarter, faster AI!
Genre: Non-Fiction > Tech & Devices

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