Building Intelligent Systems (PDF)

Name: Building Intelligent Systems
Brand: Springer-Verlag GmbH
SKU: 103149438
Price: 68.87 EUR
Availability: OnlineOnly

A Guide to Machine Learning Engineering (Sprache: Englisch)

Autor: Geoff Hulten

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Building Intelligent Systems, Geoff Hulten

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Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.
This book teaches you how to build an Intelligent System from end to end and leverage machine learning...

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Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.

This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world.

What You'll Learn:

Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success
Design an intelligent user experience: Produce data to help make the Intelligent System better over time
Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice
Create intelligence: Use different approaches, including machine learning
Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want

Autoren-Porträt von Geoff Hulten

Geoff Hulten is a Machine Learning Scientist and PhD in machine learning. He has managed applied machine learning teams for over a decade, building dozens of Internet-scale Intelligent Systems that have hundreds of millions of interactions with users every day. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.