Data Science – Bücher, CDs, LPs und mehr, Seite 9

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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.

Buch

Brent Laster
Learning GitHub Copilot

Supercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating…

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Buch

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.

Buch

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 27.1.2026.

Buch

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…

lieferbar innerhalb 1-2 Wochen

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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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Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and PyTorch

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set an…

lieferbar innerhalb 1-2 Wochen

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Suhas Pai
Designing Large Language Model Applications

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged app…

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Brett Kennedy
Outlier Detection in Python

From the back cover:Outlier Detection in Python is a comprehensive guide to the statistical methods, machine learning, and deep learning approaches you can use to detect outliers in different types of dat…

lieferbar innerhalb 1-2 Wochen

Buch

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…

lieferbar innerhalb 1-2 Wochen

Buch

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…

lieferbar innerhalb 1-2 Wochen

Buch

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.

Buch

Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

lieferbar ab 28.1.2026.

Buch

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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Buch

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…

lieferbar innerhalb 2-3 Wochen

Buch

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

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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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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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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

lieferbar innerhalb 1-2 Wochen

Buch

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.

Buch

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