Unser Katalog

Ki : Text : Diskurse UEber Ki-Textgeneratoren

Machine and Deep Learning Using MATLAB : Algorithms and Tools for Scientists and Engineers

Maschinelles Lernen für Dummies

Artificial Intelligence For Science : A Deep Learning Revolution

Der elektronische Spiegel : Menschliches Denken und künstliche Intelligenz

Hands-On Machine Learning with Scikit-Learn, Keras , and TensorFlow

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data

The Coming Wave : AI, Power and The Twenty-first Century's Greatest Dilemma

The Handbook of Data Science and AI : Generate Value from Data with Machine Learning and Data Analytics

Understanding Deep Learning

You & AI : A Guide to Understanding How Artificial Intelligence Is Shaping Our Lives

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