The Machine Learning Solutions Architect Handbook
As machine learning becomes increasingly important across many industries, organizations need to keep up by building secure and scalable ML platforms. This handbook takes you through the whole process, from data science to system architecture and ML governance to help you become a true professional ML solutions architect.
Offered by
Difficulty Level
Intermediate
Completion Time
14h44m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.
The Machine Learning Solutions Architect Handbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h44m total length
Machine Learning and Machine Learning Solutions Architecture
Business Use Cases for Machine Learning
Machine Learning Algorithms
Data Management for Machine Learning
Open Source Machine Learning Libraries
Kubernetes Container Orchestration Infrastructure Management
Open Source Machine Learning Platforms
Building a Data Science Environment Using AWS ML Services
Building an Enterprise ML Architecture with AWS ML Services
Advanced ML Engineering
ML Governance, Bias, Explainability, and Privacy
Building ML Solutions with AWS AI Services
Related Resources
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