Category: Computer Science & Computer Engineering
eBook Details: Paperback: 278 pages Publisher: WOW! eBook (October 28, 2022) Language: English ISBN-10: 1801816441 ISBN-13: 978-1801816441 eBook Description: Accelerate Deep Learning Workloads with Amazon SageMaker: Plan and design model serving infrastructure to run and troubleshoot distributed deep learning training jobs for improved model performance Over the past 10 years, deep learning has grown from being an academic research field to seeing wide-scale adoption across multiple industries. Deep learning models demonstrate excellent results on a wide range of practical tasks, underpinning emerging fields such as virtual assistants, autonomous driving, and robotics. In this book, you will learn about the practical aspects of designing, building, and optimizing...
eBook Details: Paperback: 530 pages Publisher: WOW! eBook (October 27, 2022) Language: English ISBN-10: 1803247592 ISBN-13: 978-1803247595 eBook Description: Machine Learning Engineering on AWS: Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycle There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage...
eBook Details: Paperback: 242 pages Publisher: WOW! eBook (September 20, 2022) Language: English ISBN-10: 109811292X ISBN-13: 978-1098112929 eBook Description: Hands-On Healthcare Data: Taming the Complexity of Real-World Data Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you’ll be able to solve healthcare’s most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data. You’ll learn: Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools,...
eBook Details: Paperback: 246 pages Publisher: WOW! eBook (October 21, 2022) Language: English ISBN-10: 1801810567 ISBN-13: 978-1801810562 eBook Description: Intelligent Document Processing with AWS AI/ML: Build real-world artificial intelligence applications across industries with the help of intelligent document processing With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs. This book is a comprehensive guide to helping you get to...
eBook Details: Paperback: 176 pages Publisher: WOW! eBook (October 21, 2022) Language: English ISBN-10: 1484288432 ISBN-13: 978-1484288436 eBook Description: Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then,...
eBook Details: Paperback: 418 pages Publisher: WOW! eBook (November 6, 2022) Language: English ISBN-10: 148428657X ISBN-13: 978-1484286579 eBook Description: Technical Building Blocks: A Technology Reference for Real-world Product Development This book offers comprehensive coverage of the various technologies and techniques used to build technical products. You will learn how technical product development is collaboratively done across multiple technical teams, primarily those in software engineering, data engineering, and AI/ML engineering. You will also be introduced to the technologies these teams use to develop features and products. Many roles in the organization work alongside these technical product development teams and act as liaisons between them, the stakeholders,...
