Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Managing Machine Learning Projects From design to deployment (sách keo gáy, bìa mềm)
Thể loại:Business & Economics - Project Management
Năm:2023
In lần thứ:1
Ngôn ngữ:english
Trang: 273
Guide machine learning projects from design to production with the
techniques in this unique project management guide. No ML skills
required!
In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including:
• Understanding an ML project’s requirements
• Setting up the infrastructure for the project and resourcing a team
• Working with clients and other stakeholders
• Dealing with data resources and bringing them into the project for use
• Handling the lifecycle of models in the project
• Managing the application of ML algorithms
• Evaluating the performance of algorithms and models
• Making decisions about which models to adopt for delivery
• Taking models through development and testing
• Integrating models with production systems to create effective applications
• Steps and behaviors for managing the ethical implications of ML technology
Managing
Machine Learning Projects is an end-to-end guide for delivering machine
learning applications on time and under budget. It lays out tools,
approaches, and processes designed to handle the unique challenges of
machine learning project management. You’ll follow an in-depth case
study through a series of sprints and see how to put each technique into
practice. The book’s strong consideration to data privacy, and
community impact ensure your projects are ethical, compliant with global
legislation, and avoid being exposed to failure from bias and other
issues.
About the Technology
Ferrying machine learning projects to
production often feels like navigating uncharted waters. From
accounting for large data resources to tracking and evaluating multiple
models, machine learning technology has radically different requirements
than traditional software. Never fear! This book lays out the unique
practices you’ll need to ensure your projects succeed.
About the Book
Managing
Machine Learning Projects is an amazing source of battle-tested
techniques for effective delivery of real-life machine learning
solutions. The book is laid out across a series of sprints that take you
from a project proposal all the way to deployment into production.
You’ll learn how to plan essential infrastructure, coordinate
experimentation, protect sensitive data, and reliably measure model
performance. Many ML projects fail to create real value—read this book
to make sure your project is a success.
What's Inside
• Set up infrastructure and resource a team
• Bring data resources into a project
• Accurately estimate time and effort
• Evaluate which models to adopt for delivery
• Integrate models into effective applications
About the Reader
For anyone interested in better management of machine learning projects. No technical skills required.
About the Author
Simon
Thompson has spent 25 years developing AI systems to create
applications for use in telecoms, customer service, manufacturing and
capital markets. He led the AI research program at BT Labs in the UK,
and is now the Head of Data Science at GFT Technologies.
