Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutionsKey FeaturesExplore different ML tools and frameworks to solve large-scale machine learning challenges in the cloudBuild an efficient data science environment for data exploration, model building, and model trainingLearn how to implement bias detection, privacy, and explainability in ML model developmentBook DescriptionWhen 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 book, 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 learnApply ML methodologies to solve business problemsDesign a practical enterprise ML platform architectureImplement MLOps for ML workflow automationBuild an end-to-end data management architecture using AWSTrain large-scale ML models and optimize model inference latencyCreate a business application using an AI service and a custom ML modelUse AWS services to detect data and model bias and explain modelsWho this book is forThis 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.Table of ContentsMachine Learning and Machine Learning Solutions ArchitectureBusiness Use Cases for Machine LearningMachine Learning Algorithms Data Management for Machine LearningOpen Source Machine Learning LibrariesKubernetes Container Orchestration Infrastructure ManagementOpen Source Machine Learning PlatformsBuilding a Data Science Environment Using AWS ML ServicesBuilding an Enterprise ML Architecture with AWS ML ServicesAdvanced ML EngineeringML Governance, Bias, Explainability, and PrivacyBuilding ML Solutions with AWS AI Services
Details e-book The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting
🗸 Author(s): David Ping
🗸 Title: The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting
🗸 Rating : 4.9 from 5 stars (41 reviews)
🗸 ISBN-10: 1801072167
🗸 ISBN-13: 9781801072168
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle
✓ Read as many eBooks you want!
✓ Secure Scanned. No Virus Detected
✓ Thousands of eBooks to choose from - Hottest new releases
✓ Click it and Read it! - no waiting to read eBooks, it's instant!
✓ Keep reading your favorite eBooks over and over!
✓ It works anywhere in the world!
✓ No late fees or fixed contracts - cancel anytime!
Readers' opinions about The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting by David Ping
Adisson Wright
This gripping true crime narrative offers a chilling glimpse into the minds of some of history's most notorious criminals. From cold-blooded killers to master con artists, each chapter delves into the twisted motives and methods of these infamous individuals. With its riveting storytelling and meticulous research, this book is a must-read for armchair detectives and true crime enthusiasts alike.
Spring Baldwin
Discover the secrets of the world's greatest masterpieces with this fascinating exploration of art history. From the Renaissance to the modern era, the author guides readers through the evolution of artistic styles and movements, offering insights into the lives and works of renowned artists. With its stunning visuals and insightful commentary, this book is a treasure trove of inspiration for art lovers and history buffs.
Kayla Mills
Dive into a world of magic and mystery with this enchanting fantasy novel, where mythical creatures and ancient prophecies collide in an epic battle for survival. As darkness descends upon the land, a young hero must rise to fulfill his destiny and save the kingdom from destruction. With its richly imagined world and compelling characters, this book is sure to transport readers to a realm of wonder and adventure.
