Learning Science – Bücher, LPs, CDs und mehr, Seite 4

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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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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.

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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…

lieferbar ab 4.12.2025.

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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. Perhaps you're ready to jump in, but you're unsure …

lieferbar ab 31.10.2025.

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Grigory Sapunov
Deep Learning with Jax

From the back cover:Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, an …

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Yves Hilpisch
Reinforcement Learning for Finance

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman …

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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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Nicole Koenigstein
Transformers in Action

Take a deep dive into Transformers and Large Language Models---the foundations of generative AI!Generative AI has set up shop in almost every aspect of business and society. Transformers and Large Languag…

lieferbar ab 25.11.2025.

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Eric Butow, Kelly Noble Mirabella
AI Chatbots for Dummies

A handbook for professionals implementing or upgrading chatbotsIn AI Chatbots For Dummies, chatbot expert Kelly Mirabella and veteran tech educator Eric Butow deliver a from-scratch guide to deploying AI-…

lieferbar ab 3.2.2026.

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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…

lieferbar ab 27.1.2026.

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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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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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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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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…

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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…

lieferbar ab 18.11.2025.

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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 25.11.2025.

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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…

lieferbar ab 11.12.2025.

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Ryan Day
Hands-On APIs for AI and Data Science

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data scie…

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Artificial Intelligence for STEM Education Research

This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a …

lieferbar ab 17.1.2026.

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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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