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: Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia, Author: Shalom Lappin
Title: AI for Finance, Author: Edward P. K. Tsang
Explore Series
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Generative AI Application Integration Patterns: Integrate large language models into your applications, Author: Juan Pablo Bustos
Title: LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development, Author: Ahmed Menshawy
Title: Neural Networks with Python, Author: Mei Wong
Title: Machine Learning for Business: Using Amazon SageMaker and Jupyter, Author: Doug Hudgeon
Title: Learning Microsoft Cognitive Services: Use Cognitive Services APIs to add AI capabilities to your applications, 3rd Edition, Author: Leif Larsen
Title: Evolutionary Deep Learning: Genetic algorithms and neural networks, Author: Micheal Lanham
Title: Google JAX Essentials, Author: Mei Wong
Title: Data Augmentation with Python: Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data, Author: Duc Haba
Title: Deep Learning for Search, Author: Tommaso Teofili
Title: Applied Deep Learning on Graphs: Leverage graph data for business applications using specialized deep learning architectures, Author: Lakshya Khandelwal
Title: Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python, Author: Matt Benatan
Title: Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases, Author: Denis Rothman
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Explore Series
Title: GANs in Action: Deep learning with Generative Adversarial Networks, Author: Vladimir Bok
Title: Python Machine Learning - Second Edition: Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries., Author: Sebastian Raschka

Pagination Links