Unser Katalog

Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control

Deep Learning for Physical Scientists : Accelerating Research with Machine Learning

Deep Learning with Python

Machine Learning : A First Course for Engineers and Scientists

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python

The Myth of Artificial Intelligence : Why Computers Can't Think the Way We Do

The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks

Tidy Modeling with R

Atlas of AI : Power, Politics, and the Planetary Costs of Artificial Intelligence

Codeless Deep Learning with KNIME : Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

Machine Learning for Engineers : Using Data to Solve Problems for Physical Systems

Quantum Science and Technology
Machine Learning with Quantum Computers

De Gruyter Stem
Vagueness in the Exact Sciences : Impacts in Mathematics, Physics, Chemistry, Biology, Medicine, Engineering and Computing

Tech Trends in Practice : The 25 Technologies That Are Driving The 4th Industrial Revolution

The AI-Powered Workplace : How Artificial Intelligence, Data, and Messaging Platforms are Defining the Future Work

The Road to Conscious Machines : The Story of AI

World Wide Wunderkammer : Ästhetische Erfahrung in der digitalen Revolution

Artificial Neural Networks with Java : Tools for Building Neural Network Applications

Der unterlegene Mensch : Die Zukunft der Menschheit im Angesicht von Algorithmen, künstlicher Intelligenz und Robotern

Human Compatible : Arificial Intelligence and the Problem of Control