Title: AI in Chemical Engineering: Unlocking the Power Within Data, Author: José A. Romagnoli
Title: Mathematical Engineering of Deep Learning, Author: Benoit Liquet
Title: Large Language Models: Concepts, Techniques and Applications, Author: John Atkinson-Abutridy
Title: Designing Deep Learning Systems: A software engineer's guide, Author: Chi Wang
Title: Azure AI Services at Scale for Cloud, Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning, Author: Simon Bisson
Title: Kernel Methods for Pattern Analysis, Author: John Shawe-Taylor
Title: Bayesian Learning for Neural Networks, Author: Radford M. Neal
Title: Mastering Computer Vision with PyTorch and Machine Learning, Author: Caide Xiao
Title: How to Find a Needle in a Haystack: From the Insider Threat to Solo Perpetrators, Author: Yair Neuman
Title: 6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis, Author: Ashish Kumar
Title: Data Science for Water Utilities: Data as a Source of Value, Author: Peter Prevos
Title: Graph Learning Techniques, Author: Baoling Shan
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models, Author: KC Tung
Title: Ensemble Methods for Machine Learning, Author: Gautam Kunapuli
Title: The Application of Emerging Technology and Blockchain in the Insurance Industry, Author: Kiran Sood
Title: Recent Trends and Best Practices in Industry 4.0, Author: Abhinav Sharma
Title: Data Science for Effective Healthcare Systems, Author: Hari Singh
Title: Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems, Author: Yinpeng Wang
Title: Practical Machine Learning: A Beginner's Guide with Ethical Insights, Author: Ally S. Nyamawe

Pagination Links