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Mobile Computing, Applications, and Services
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Mobile Computing, Applications, and Services (MobiCASE 2011) held in Los Angeles, CA, USA, during October 24-27, 2010. The 18 revised full papers presented together with 12 revised poster papers were carefully reviewed and selected from numerous submissions. The conference papers are organized in seven technical sessions, covering the topics of mobile pervasive applications, system issues, location-aware services, mobile phone based systems, mobile Web and services, tools for mobile environments, and mobile application development issues.
Vectorization
Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems Offering insights across various domains such as computer vision and natural language processing, Vectorization covers the fundamental topics of vectorization including array and tensor operations, data wrangling, and batch processing. This book illustrates how the principles discussed lead to successful outcomes in machine learning projects, serving as concrete examples for the theories explained, with each chapter including practical case studies and code implementations using NumPy, TensorFlow, and PyTorch. Each chapter has one or two typ...
Building Machine Learning Pipelines
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play ...
Artificial Minds
Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind.
AAAI 99
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference and Innovative Applications of Artificial Intelligence Conference provide a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. The technical papers published in this proceedings were selected by a rigorous, double-blind review process. The National Conference papers cover a myriad of topics, including agents, artificial intelligence and the world wide web, cognitive systems, constraint ...
Bill & Dave
The definitive history of Hewlett-Packard and its legendary founders, based on unprecedented access to private archivesThis is the most authoritative version ever of the most famous start-up story in business history. In 1938, working out of a small garage in Palo Alto, California, two young Stanford graduates named Bill Hewlett and Dave Packard built their first product, an audio oscillator. It was the start not only of a legendary company but of an entire way of life in Silicon Valley'and, ultimately, our modern digital age. Others have written about the rise of Hewlett-Packard, including Packard himself in a bestselling memoir. But acclaimed journalist Michael S. Malone is the first to ge...
All Things Shining
An inspirational book that is “a smart, sweeping run through the history of Western philosophy. Important for the way it illuminates life today and for the controversial advice it offers on how to live” (The New York Times). “What constitutes human excellence?” and “What is the best way to live a life?” These are questions that human beings have been asking since the beginning of time. In their critically acclaimed book, All Things Shining, Hubert Dreyfus and Sean Dorrance Kelly argue that our search for meaning was once fulfilled by our responsiveness to forces greater than ourselves, whether one God or many. These forces drew us in and imbued the ordinary moments of life with w...
The Domain Testing Workbook
Domain testing is the most widely taught technique in software testing. However, many of the presentations stick with examples that are too simple to provide a strong basis for applying the technique. Others focus on mathematical models or analysis of the program's source code. The Domain Testing Workbook will help you develop deep skill with this technique whether or not you have access to source code or an abiding interest in mathematics. The Domain Testing Workbook provides a schema to organize domain testing and test design, with dozens of practical problems and sample analyses. Readers can try their hand at applying the schema and compare their analyses against over 200 pages of worked ...
Recommender Systems Handbook
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi...
