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With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more
Includes entries for maps and atlases.
One L, Scott Turow's journal of his first year at law school and a best-seller when it was first published in 1977, has gone on to become a virtual bible for prospective law students. Not only does it introduce with remarkable clarity the ideas and issues that are the stuff of legal education; it brings alive the anxiety and competiveness--with others and, even more, with oneself--that set the tone in this crucible of character building. Each September, a new crop of students enter Harvard Law School to begin an intense, often grueling, sometimes harrowing year of introduction to the law. Turow's group of One Ls are fresh, bright, ambitious, and more than a little daunting. Even more impressive are the faculty. Will the One Ls survive? Will they excel? Will they make the Law Review, the outward and visible sign of success in this ultra-conservative microcosm? With remarkable insight into both his fellows and himself, Turow leads us through the ups and downs, the small triumphs and tragedies of the year, in an absorbing and thought-provoking narrative that teaches the reader not only about law school and the law but about the human beings who make them what they are. In the new afterword for this edition of One L, the author looks back on law school from the perspective of ten years' work as a lawyer and offers some suggestions for reforming legal education.
The authoritative account of the rise of Amazon and its intensely driven founder, Jeff Bezos, praised by the Seattle Times as "the definitive account of how a tech icon came to life." Amazon.com started off delivering books through the mail. But its visionary founder, Jeff Bezos, wasn't content with being a bookseller. He wanted Amazon to become the everything store, offering limitless selection and seductive convenience at disruptively low prices. To do so, he developed a corporate culture of relentless ambition and secrecy that's never been cracked. Until now. Brad Stone enjoyed unprecedented access to current and former Amazon employees and Bezos family members, giving readers the first in-depth, fly-on-the-wall account of life at Amazon. Compared to tech's other elite innovators -- Jobs, Gates, Zuckerberg -- Bezos is a private man. But he stands out for his restless pursuit of new markets, leading Amazon into risky new ventures like the Kindle and cloud computing, and transforming retail in the same way Henry Ford revolutionized manufacturing. The Everything Store is the revealing, definitive biography of the company that placed one of the first and largest bets on the Internet and forever changed the way we shop and read.
A cumulative list of works represented by Library of Congress printed cards.