Learning Python – Bücher, LPs, CDs und mehr

Roland Schwaiger, Joachim Steinwendner

Neuronale Netze programmieren mit Python

Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die gen…

Monty Python

The Meaning Of Life (Red Vinyl)

Parteek Bhatia

Machine Learning with Python

"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intellig…

Chollet Francois

Deep Learning with Python, Third Edition

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition…

Eric W. Bridgeford, Alexander R. Loftus, Joshua T. Vogelstein

Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

Anupam Bagchi, Pramod Gupta

Essentials of Python for Artificial Intelligence and Machine Learning

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply …

M Umit Uyar

Machine Learning and AI with Simple Python and MATLAB Scripts

A practical guide to AI applications for Simple Python and Matlab scriptsMachine Learning and AI with Simple Python and Matlab Scripts: Courseware for Non-computing Majors introduces basic concepts and pr…

Joseph Awange, Lajos Völgyesi, Béla Paláncz

Hybrid Imaging and Visualization

This second edition of the book that targets those in computer algebra and artificial intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in ma…

Florian André Dalwigk

Python Programming for Beginners

Programming is a highly useful skill, yet only few people master it. Surprising, as it offers big advantages in both private and professional life. Florian Dalwigk, well-known YouTuber and author, reaches…

Mohammad Nauman

Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

Ronald T. Kneusel

Practical Deep Learning

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as de…

Johannes Lederer

A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

Filippo Biscarini, Nelson Nazzicari

Deep Learning for Life Sciences

Artificial intelligence is already ubiquitous in the life sciences, from cancer diagnosis to medical image analysis, from precision agriculture to wildlife monitoring. It is therefore essential for any sc…

Pramod Gupta, Naresh Kumar Sehgal, John M. Acken

Introduction to Machine Learning with Security

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and…

Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce

Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

Brett Kennedy

Outlier Detection in Python

From the back cover:Outlier Detection in Python is a comprehensive guide to the statistical methods, machine learning, and deep learning approaches you can use to detect outliers in different types of dat…

Vaibhav Verdhan

Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

Ashish Ranjan Jha

Fight Fraud with Machine Learning

Fight Fraud with Machine Learning teaches you to build and deploy state-of-the-art fraud detection systems.Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital tra…

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…