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: AI for Finance, Author: Edward P. K. Tsang
Explore Series
Title: Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python, Author: Matt Benatan
Title: Angular and Machine Learning Pocket Primer, Author: Oswald Campesato
Title: Neural Networks with Python, Author: Mei Wong
Title: ?Python?????(?2?): Chinese Edition, Author: Posts & Telecom Press
Title: Build a Text-to-Image Generator (from Scratch), Author: Mark Liu Pre-Order Now
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: Deep Learning and the Game of Go, Author: Kevin Ferguson
Title: Python????????: Chinese Edition, Author: Posts & Telecom Press
Title: Statistics with Rust, Second Edition, Author: Keiko Nakamura
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Healing with Artificial Intelligence, Author: Daniele Caligiore
Title: Python??????: Chinese Edition, Author: Posts & Telecom Press
Title: Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter: Build scalable real-world projects to implement end-to-end neural networks on Android and iOS, Author: Anubhav Singh
Title: GANs in Action: Deep learning with Generative Adversarial Networks, Author: Vladimir Bok
Title: PyTorch Cookbook, Author: Matthew Rosch
Title: LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development, Author: Ahmed Menshawy
Title: NONLINEAR ALGEBRA IN AN ACORN: With Applications to Deep Learning, Author: Martin J Lee

Pagination Links