Book Image

The Machine Learning Solutions Architect Handbook

By : David Ping
Book Image

The Machine Learning Solutions Architect Handbook

By: David Ping

Overview of this book

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. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
Table of Contents (17 chapters)
1
Section 1: Solving Business Challenges with Machine Learning Solution Architecture
4
Section 2: The Science, Tools, and Infrastructure Platform for Machine Learning
9
Section 3: Technical Architecture Design and Regulatory Considerations for Enterprise ML Platforms

Overview of AWS AI services

AWS provides AI services in multiple machine learning domains such as text and vision, as well as AI services for industrial use cases such as manufacturing anomaly detection and predictive maintenance. In this section, we will cover a subset of AWS AI services. The objective of this section will not be to deep dive into individual services, but rather make you aware of the fundamental capabilities offered by these AI services. This will let you know where and how these services can be integrated into your applications.

Amazon Comprehend

NLP has gained significant interest across different industries in solving a range of business problems, such as automatic document processing, text summarization, document understanding, and document management and retrieval. Amazon Comprehend is an AI service that can perform NLP analysis on unstructured text documents. At its core, Amazon Comprehend provides the following main capabilities:

  • Entity recognition...