Machine Learning In Information Security – alle Bücher, Seite 5

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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, focuse…

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Marco Peixeiro
Time Series Forecasting Using Foundation Models

Make accurate time series predictions with powerful pretrained foundation models!You don't need to spend weeks---or even months---coding and training your own models for time series forecasting. Time Seri…

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Roberto Infante
AI Agents and Applications

Build intelligent LLM-powered applications with agentic workflows and tool-based agents.AI-powered applications are rapidly becoming the new normal. Personal productivity assistants, coding agents, smarte…

lieferbar ab 27.1.2026.

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Mariano Mattei
Data-Driven Cybersecurity

Measure, improve, and communicate the value of your security program.Every business decision should be driven by data---and cyber security is no exception. In Data-Driven Cybersecurity , you'll master the…

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Nicole Koenigstein
Transformers in Action

Understand the architecture that underpins today's most powerful AI models.Transformers are the superpower behind large language models (LLMs) like ChatGPT, Gemini, and Claude. Transformers in Action give…

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Leemay Nassery
AI Model Evaluation

De-risk AI models, validate real-world performance, and align output with product goals.Before you trust critical business systems to an AI model, you need to answer a few questions. Will it be fast enoug…

lieferbar ab 28.4.2026.

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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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Bing Zhang
Machine Learning-Based Hyperspectral Image Processing

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

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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 the …

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Pam Baker
Agentic AI for Dummies

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligenceAgentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond …

lieferbar ab 27.1.2026.

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Luca Massaron
Machine Learning for Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann
Deep Learning with Pytorch, Second Edition

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models.Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insight…

lieferbar ab 27.1.2026.

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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, becoming…

lieferbar in mind. 4 Wochen

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Robert Osazuwa Ness
Causal AI

From the back cover:Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and …

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Wei-Meng Lee
Hugging Face in Action

Everything you need to know about using the tools, libraries, and models at Hugging Face---from transformers, to RAG, LangChain, and Gradio.Hugging Face is the ultimate resource for machine learning engin…

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Tiny Machine Learning: Design Principles and Applications

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and developmentIn Tiny Machine Learning: Design Principles and Applications, a te…

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Guglielmo Iozzia
Domain-Specific Small Language Models

Bigger isn't always better. Train and tune highly focused language models optimized for domain specific tasks.When you need a language model to respond accurately and quickly about a specific field of kno…

lieferbar ab 17.3.2026.

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Mark Liu
Build a Text-To-Image Generator (from Scratch)

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.This boo…

lieferbar ab 27.1.2026.

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Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud
Scaling Graph Learning for the Enterprise

Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to…

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

lieferbar ab 4.2.2026.

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