Data Sciences And AI – alle Bücher, CDs und LPs, Seite 3 online kaufen

Daniela Rus, Gregory Mone
The Heart and the Chip

There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performa…

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Harvard Business Review, Ethan Mollick, David De Cremer, Tsedal Neeley
Generative Ai: The Insights You Need from Harvard Business Review

"The world is stunned and transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear that they will transform the business landscape-exactly when and how much are …

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Steve Wilson
The Developer's Playbook for Large Language Model Security

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Autho…

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AI, IoT, Big Data and Cloud Computing for Industry 4.0

This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as Industry 4.0. The book provides a comprehensive understanding of the interconnection…

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving fro…

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The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)

This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19 21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timel…

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Rogayeh Tabrizi
Behavioral AI

Turn your organization's data into concrete, hands-on solutions using principles from behavioral economics Behavioral AI: Unleash Decision Making with Data is a hands-on playbook for enterprises who want …

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teach…

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Nitin Seth
Mastering the Data Paradox

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling…

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Demystifying Artificial Intelligence

This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between ac…

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Damian Clifford
Data Protection Law and Emotion

Data protection law is seen as an important regulatory response to the challenges posed by innovative technologies, but some scholars are critical of its capacity to make a difference; Data Protection Law…

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Max A Little
Machine Learning for Signal Processing

Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern in…

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Omar Sanseviero, Pedro Cuenca, Apolinario Passos, Jonathan Whitaker
Hands-On Generative AI with Transformers and Diffusion Models

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fi…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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National Academies of Sciences Engineering and Medicine, Division of Behavioral and Social Sciences and Education, Committee On National Statistics, Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure
Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - pre…

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Natalie Dessay - The Opera Singer

Roberto Alagna, Cecilia Bartoli, Ian Bostridge, Patrizia Ciofi, Placido Domingo, Renee Fleming, Angelika Kirchschlager, Susan Graham, Sandrine Piau, Kiri Te Kanawa, Violeta Urmana, Rolando Villazon, Anne …

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33 CDs, 19 DVDs

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Machine Learning and Metaheuristic Computation

Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches Few areas of technology have greater potential to revolutionize the globe than artif…

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Martin Kihn, Andrea Chen Lin
Customer 360

Praise for CUSTOMER 360 "Customer 360 stands out in a crowded conversation by showing businesses how they can use complex new technologies to give customers the better experiences they want and to unlock …

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Victor Paul
Profitomix

Today, startups can thrive in a balance with investors, driven by one common goal - profit. PROFITomix is the ultimate guidebook that empowers founders to take charge of their futures and shows angels and…

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