Künstliche Intelligenz 10

Künstliche Intelligenz: ChatGPT im Interview

Autor: Manuela Machner

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Autor: Sebastian Raschka

Maschinelles Lernen: Grundlagen und Algorithmen in Python

Autor: Jörg Frochte

Machine Learning für Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung

Autor: Paolo Perrotta

LLM Prompt Engineering For Developers: The Art and Science of Unlocking LLMs' True Potential

Autor: Aymen El Amri

Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks, 11, Band 11)

Autor: M. Antónia Amaral Turkman

A Guide to Artificial Intelligence with Visual PROLOG

Autor: Randall Scott

Future Ready: The Art of Standing Out in the Age of Artificial Intelligence

Autor: Pascal Bornet

Generative Künstliche Intelligenz: ChatGPT und Co für Bildung, Wirtschaft und Gesellschaft

Herausgeber: Sabine Seufert, Siegfried Handschuh

Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande

Deutsche Syntax deklarativ: Head-Driven Phrase Structure Grammar für das Deutsche (Linguistische Arbeiten, Band 394)

Stefan Müller

Understanding Machine Learning: From Theory to Algorithms

Shai Shalev-Shwartz, Shai Ben-David

Novacene: The Coming Age of Hyperintelligence

James Lovelock

Deep Learning with R_p1

Joseph J Allaire

Künstliche Intelligenz: Eine Einführung (mitp Professional)

Jerry Kaplan

Python Programmieren 5 in 1: Der schnelle Einstieg (Anfänger, Fortgeschritten, Data Science, Finanzen, Machine Learning)

Florian Dedov

Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Alberto Fernandez Villan

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Aileen Nielsen