Description: Applied Machine Learning and High-Performance Computing on AWS by Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter Estimated delivery 3-12 business days Format Paperback Condition Brand New Description With this book, youll learn how to develop large-scale machine learning applications using high-performance computing on Amazon Web Services. In addition, youll understand architectural components, performance optimization, and real-world use cases in domains like genomics, autonomous vehicles, computational fluid dynamics, and numerical ... Publisher Description Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook DescriptionMachine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, youll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, youll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is forThe book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful. Author Biography Mani Khanuja is a seasoned IT professional with over 17 years of software engineering experience. She has successfully led machine learning and artificial intelligence projects in various domains such as forecasting, computer vision, and natural language processing. At AWS, she helps customers to build, train, and deploy large machine learning models at scale. She also specializes in data preparation, distributed model training, performance optimization, machine learning at edge, and automating the complete machine learning lifecycle to build repeatable and scalable applications. Farooq Sabir is a research and development expert in machine learning, data science, big data, predictive analytics, computer vision, image, and video processing. He also has 10+ years of professional experience. Shreyas Subramanian helps AWS customers build and fine tune large-scale machine learning and deep learning models, and rearchitect solutions to help improve security, scalability, and efficiency of machine learning platforms. He also specializes in setting up massively parallel distributed training, hyperparameter optimization, reinforcement learning solutions, and provides reusable architecture templates to solve AI and optimization use cases. Trenton Potgieter is an expert technologist with 25 years of both local and international experience across multiple aspects of an organization; from IT to Sales, Engineering and Consulting, Cloud, and on-premises. He has a proven ability to analyze, assess, recommend, and design appropriate solutions that meet key business criteria, as well as present and teach these from engineering to executive levels. Details ISBN 1803237015 ISBN-13 9781803237015 Title Applied Machine Learning and High-Performance Computing on AWS Author Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter Format Paperback Year 2022 Pages 382 Publisher Packt Publishing Limited GE_Item_ID:139642414; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. 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Price: 59.92 USD
Location: Fairfield, Ohio
End Time: 2024-11-14T04:17:41.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781803237015
Book Title: Applied Machine Learning and High-Performance Computing on AWS
Number of Pages: 382 Pages
Publication Name: Applied Machine Learning and High-Performance Computing on AWS : Accelerate the Development of Machine Learning Applications Following Architectural Best Practices
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2022
Subject: Intelligence (Ai) & Semantics, Computer Science, General, Data Processing
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers, Science
Author: Mani Khanuja, Trenton Potgieter, Shreyas Subramanian, Farooq Sabir
Item Width: 3 in
Format: Trade Paperback
