Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks, Author: Keith L. Downing
Title: Machine Learning für Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung, Author: Paolo Perrotta
Title: The Syntellect Hypothesis: Five Paradigms of the Mind's Evolution, Author: Alex M Vikoulov
Title: Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch, Author: Vishnu Subramanian
Title: AI for Finance, Author: Edward P. K. Tsang
Explore Series
Title: Deep Learning with R, Author: François Chollet
Title: Python?????: Chinese Edition, Author: Posts & Telecom Press
Title: Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond, Author: Ashish Ranjan Jha
Title: Build a Text-to-Image Generator (from Scratch), Author: Mark Liu Pre-Order Now
Title: Statistics with Rust, Second Edition, Author: Keiko Nakamura
Title: Python????????: Chinese Edition, Author: Posts & Telecom Press
Title: Pytorch Deep Learning by Example (2nd Edition), Author: Benjamin Young
Title: Healing with Artificial Intelligence, Author: Daniele Caligiore
Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin Rhys
Title: DATA ANALYSIS FOR NETWORK CYBER-SECURITY, Author: Niall M Adams
Title: Python??????: Chinese Edition, Author: Posts & Telecom Press
Title: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications, Author: V Kishore Ayyadevara
Title: Generative AI Application Integration Patterns: Integrate large language models into your applications, Author: Juan Pablo Bustos
Title: Python????????: Chinese Edition, Author: Posts & Telecom Press

Pagination Links