Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Name: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Price: 36.49 USD
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Rating: 4.6 (475 reviews)

4.6 of 5 Stars: Computers & Technology - Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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Book Synopsis: Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems Read more

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Are you ready to take your machine learning projects to the next level? Look no further than Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. This comprehensive guide provides you with all the tools and knowledge you need to create sophisticated and efficient machine learning systems that are ready for real-world applications.

With a focus on an iterative process, this book takes you through the entire lifecycle of developing machine learning systems. From data collection and preprocessing to model selection and evaluation, you'll learn how to navigate each stage with confidence and precision. Whether you're a novice or an experienced data scientist, this book offers invaluable insights and practical examples to enhance your skills.

One of the standout features of this book is its emphasis on creating production-ready applications. You'll learn how to optimize and deploy your machine learning models in real-world scenarios, ensuring they can handle large-scale data and deliver accurate results. With the techniques and best practices outlined in this book, you'll be able to build robust and reliable machine learning systems that can make a significant impact on your business.

Don't miss out on this opportunity to master the art of designing machine learning systems. Take the first step towards enhancing your skills and propelling your career by getting your copy of Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications today.

Click here to get your hands on this must-have book now!

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