Building Machine Learning Powered Applications
Building Machine Learning Powered Applications Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Data scientists, software engineers, and product…
Specifikacia Building Machine Learning Powered Applications
Building Machine Learning Powered Applications
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Data scientists, software engineers, and product managers-including experienced practitioners and novices alike-will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product.
Part II explains how to build a working ML model. Part I teaches you how to plan an ML application and measure success. Part III demonstrates ways to improve the model until it fulfills your original vision.
Part IV covers
Machine Learning
Machine Learning
MACHINE LEARNING
Machine Learning
Machine Learning
Machine Learning
Python Machine Learning