Machine Learning In Information Security – alle Bücher, Seite 4

Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

From the back cover:In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of th…

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Advances in Teaching and Learning for Cyber Security Education

This book provides reflection and account of innovative practice for how we approach teaching and learning for cyber security education. Cyber security continues to play a crucial role in our modern socie…

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Sebastian Raschka
Build a Reasoning Model (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.LLM reas…

lieferbar ab 28.7.2026.

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems.In Data Without L…

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Gary Sutton
Timeless Algorithms: The Seminal Papers

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.Understa…

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Ashish Ranjan Jha
Fight Fraud with Machine Learning

Fight Fraud with Machine Learning teaches you to build and deploy state-of-the-art fraud detection systems.Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital tra…

lieferbar ab 28.4.2026.

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Rishal Hurbans
Grokking AI Algorithms, Second Edition

Understand the algorithms that underpin AI, from classic to cutting-edge.Artificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of cour…

lieferbar ab 27.3.2026.

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

This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Po…

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Machine Learning Platform Engineering

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.Deliveri…

lieferbar ab 10.3.2026.

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

This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Po…

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Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Knowledge Graphs and Llms in Action

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts i…

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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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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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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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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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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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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 17.3.2026.

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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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Taehun Kim
Financial AI in Practice

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.Modern f…

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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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