AI-Machine Learning Bubble – alle Bücher, Seite 2

Soyeon Caren Han, Henry Weld, Josiah Poon, Jean Lee
Natural Language Understanding in Conversational AI with Deep Learning

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancem…

lieferbar innerhalb 2-3 Wochen

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Mario Donick
Fliegen lernen

Fliegen fasziniert Menschen seit Angedenken. Seit es Computer gibt, versuchen Menschen das Fliegen am Computer nachzustellen - zur Ausbildung, aber auch zur Unterhaltung und um hinter die Geheimnisse der …

lieferbar ab 25.9.2025.

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Mario Donick
Fliegen lernen

Fliegen fasziniert Menschen seit Angedenken. Seit es Computer gibt, versuchen Menschen das Fliegen am Computer nachzustellen - zur Ausbildung, aber auch zur Unterhaltung und um hinter die Geheimnisse der …

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Data Protection

This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data pr…

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Advancement of Science and Technology

This proceeding presents the papers from the 11th International Conference on Advancement of Science and Technology (ICAST 2023), which took place in Bahir Dar, Ethiopia, in November 2023. The papers pres…

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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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Laurence Moroney
AI and ML for Coders in PyTorch

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for progra…

lieferbar ab 31.7.2025.

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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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Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

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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-fledg…

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Alex Bueno, Markus Eisele, Natale Vinto
Applied AI for Enterprise Java Development

As a Java enterprise developer or architect, you know that embracing AI isn't just optional--it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groun…

lieferbar ab 30.11.2025.

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Brent Laster
Learning GitHub Copilot

Harness the power of generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to …

lieferbar ab 31.7.2025.

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Cultivating Digital Skills for Global Relevance

This book presents the proceedings of the International Conference on Teaching, Assessment, and Learning in the Digital Age (digiTAL 2024). It features contributions from scholars, educators, researchers,…

lieferbar ab 1.11.2025.

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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…

lieferbar innerhalb 1-2 Wochen

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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 dat…

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Yves Hilpisch
Reinforcement Learning for Finance

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

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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 12.11.2025.

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Jay Alammar, Maarten Grootendorst
Hands-On Large Language Models

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before…

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Steven W Knox
Machine Learning

"The goal of statistical data analysis is to extract the maximum information from the data, and to present a product that is as accurate and as useful as possible. - David W. Scott, Multivariate Dens…

lieferbar ab 31.12.2025.

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Jeremy Morgan
Coding with AI

Practical techniques to accelerate software development using generative AI.Let's get real. You'd like to hand off a lot of tedious software development tasks to an assistant---and now you can! AI-powered…

lieferbar ab 28.10.2025.

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