Machine Learning In Information Security – alle Bücher und LPs, Seite 5 online kaufen

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. From information gathering to release and maintenance, Machine …

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Information Security Education - Challenges in the Digital Age

This book constitutes the refereed proceedings of the 16th IFIP WG 11.8 World Conference on Information Security Education on Information Security Education Challenges in the Digital Age, WISE 2024, held …

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Information Management Capabilities in Public Safety and Security

This book provides thoughtful and extensively researched perspectives, to improve understanding of risks and rewards, and to outline strategies for developing and implementing mature information managemen…

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Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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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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Advances in Teaching and Learning for Cyber Security Education

This book showcases latest trends and innovations for how we teach and approach cyber security education. Cyber security underpins the technological advances of the 21st century and is a fundamental requi…

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Edward Raff, Drew Farris, Stella Biderman
How Large Language Models Work

Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focu…

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Artificial Intelligence in Healthcare Information Systems-Security and Privacy Challenges

"Artificial Intelligence (AI) in Healthcare Information Systems: Security and Privacy Challenges" offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the signif…

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Kristen Kehrer, Caleb Kaiser
Machine Learning Upgrade

An end-to-end framework for developing Large Language Model (LLM)-based applications Traditionally, there has been a divide between data scientists and software engineers. With the advent of LLMs, however…

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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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Smith
Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids

The increasing demand for energy coupled with the environmental concerns associated with fossil fuels necessitates a shift towards renewable energy sources. Solar, wind, geothermal, and hydro power offer …

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National Security, Journalism, and Law in an Age of Information Warfare

National Security, Journalism, and Law in an Age of Information Warfare helps one understand how secret-keepers, journalists, and sources are navigating unprecedented challenges in an age when trust in go…

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Bing Zhang
Machine Learning-Based Hyperspectral Image Processing

An authoritative deep dive into the most recent machine learning approaches to hyperspectral remote sensing image processing In Machine Learning-Based Hyperspectral Image Processing, distinguished researc…

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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, becomin…

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing. The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you th…

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Suneeta Mall
Deep Learning at Scale

"Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that …

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Robert Osazuwa Ness
Causal AI

Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and con…

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Mark Liu
Learn Generative AI with Pytorch

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Learn Generative AI with PyTorch teaches the underlying…

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