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The Machine Learning Solutions Architect Handbook

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

By David Ping
$57.99
Audiobook Oct 2022 8 hours 32 minutes 1st Edition
Audiobook
$57.99
Subscription
$15.99 Monthly
Audiobook
$57.99
Subscription
$15.99 Monthly

What do you get with Audiobook?

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Product Details


Publication date : Oct 14, 2022
Length 8 hours 32 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781837632459
Category :

Key benefits

  • Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud
  • Build an efficient data science environment for data exploration, model building, and model training
  • Learn how to implement bias detection, privacy, and explainability in ML model development

Description

When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this audiobook, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.

What you will learn

Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models

What do you get with Audiobook?

Feature icon Download a zip folder containing audio files (MP3) and a supplementary PDF
Feature icon Access this title in our online player
Feature icon DRM FREE - Listen whenever, wherever and however you want
Buy Now

Product Details


Publication date : Oct 14, 2022
Length 8 hours 32 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781837632459
Category :

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