Can I read Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure on EtoBox?

Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure by Kristen Kehrer, Caleb Kaiser is a book available to read on EtoBox.

What is Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure about?

A much-needed guide to implementing new technology in workspaces From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), machine learning, and data science. This groundbreaking book will change the way that you view the pipeline of data science. The authors provide an introduction to modern machine learning, showing you how it can be viewed as a holistic, end-to-end system—not just shiny new gadget in an otherwise unchanged operational structure. By adopting a data-centric view of the world, you can begin to see unstructured data and LLMs as the foundation upon which you can build countless applications and business solutions. This book explores a whole world of decision making that hasn't been codified yet, enabling you to forge the future using emerging best practices. Gain an understanding of the intersection between large language models and unstructured data Follow the process of building an LLM-powered application using a framework centered on machine learning Discover best prac

Author

Kristen Kehrer, Caleb Kaiser

Publisher

Wiley & Sons, Incorporated, John

Published

2024

Language

EN

ISBN

9781394249633

Subjects

Science, Computer Science, Stem