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Women of Color
Women of Color is a publication for today's career women in business and technology.
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Venture Capitalists at Work
"This is probably the single most valuable resource for the entrepreneurs aspiring to build successful companies"—Ron Conway, Special Adviser, SV Angel, and investor in Facebook, Google, Twitter, Foursquare, PayPal, Zappos "I highly recommend Venture Capitalists at Work. This book captures the personalities and approaches of a number of leading VC practitioners and displays the heart and soul of the venture capital process, by offering an exclusive window into the voice of the practitioners."—Gus Tai, Trinity Ventures "Venture Capitalists at Work is a foundational pillar in an entrepreneur's understanding and resources. This is a first in terms of the level of detail, quality of discussi...
Women of Color
Women of Color is a publication for today's career women in business and technology.
Agents and Artificial Intelligence
This book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020. Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence.
Haute Brides and Honeymoons
Haute Brides and Honeymoons is a bi-monthly wedding, lifestyle and luxury magazine, which was launched recently. Every bride's little black book, this comprehensive magazine is the one-stop shop for a wedding that resonates tradition, culture and heritage while blending in new trends in fashion, jewellery, beauty and much more
New Woman
India’s leading women’s English monthly magazine printed and published by Pioneer Book Co. Pvt. Ltd. New Woman covers a vast and eclectic range of issues that are close to every woman’s heart. Be it women’s changing roles in society, social issues, health and fitness, food, relationships, fashion, beauty, parenting, travel and entertainment, New Woman has all this and more. Filled with quick reads, analytic features, wholesome content, and vibrant pictures, reading New Woman is a hearty and enjoyable experience. Always reinventing itself and staying committed to maintaining its high standard, quality and consistency of magazine content, New Woman reflects the contemporary Indian woman’s dreams just the way she wants it. A practical guide for women on-the-go, New Woman seeks to inform, entertain and enrich its readers’ lives.
Practicing Trustworthy Machine Learning
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
Societal Impacts on Information Systems Development and Applications
"This book has collected research from experts from around the world in a variety of sectors, in the form of case studies, frameworks, architectures, methodologies, and best practices to show the latest societal impacts on information systems development in its various applications"--Provided by publisher.
