Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
- Length: 418 pages
- Publication Date: 2022-03-24
The Business Case for AI: A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications
- Length: 316 pages
- Publication Date: 2022-03-31
Productionizing AI: How to Deliver AI B2B Solutions with Cloud and Python
- Length: 398 pages
- Publication Date: 2022-12-25
Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System using OCaml
- Length: 485 pages
- Publication Date: 2022-12-27
Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
- Length: 438 pages
- Publication Date: 2022-12-27
Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems
- Length: 870 pages
- Publication Date: 2022-12-30
Machine Learning Security Principles: Keep data, networks, users, and applications safe from prying eyes
- Length: 450 pages
- Publication Date: 2022-12-30
Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
- Length: 191 pages
- Publication Date: 2023-01-08
Applied Machine Learning and High Performance Computing on AWS: Accelerate development of machine learning applications following architectural best practices
- Length: 398 pages
- Publication Date: 2022-12-09
Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python
- Length: 672 pages
- Publication Date: 2023-01-15
Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering
- Length: 921 pages
- Publication Date: 2023-01-14