Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods
- Length: 366 pages
- Publication Date: 2021-12-16
Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
- Publication Date: 2020-07-07
Internals of Python 3.x: Derive Maximum Code Performance and Delve Further into Iterations, Objects, GIL, Memory management, and various Internals
- Length: 236 pages
- Publication Date: 2021-12-09
Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
- Length: 362 pages
- Publication Date: 2022-01-07
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python
- Length: 350 pages
- Publication Date: 2022-05-17
Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques
- Length: 188 pages
- Publication Date: 2021-12-26
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
- Length: 238 pages
- Publication Date: 2022-01-03
Python Unit Test Automation: Automate, Organize, and Execute Unit Tests in Python, 2nd Edition
- Length: 230 pages
- Publication Date: 2021-12-18
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
- Length: 334 pages
- Publication Date: 2021-12-18
Hands-on Matplotlib: Learn Plotting and Visualizations with Python 3
- Length: 317 pages
- Publication Date: 2021-12-26
Practical Docker with Python: Build, Release, and Distribute Your Python App with Docker, 2nd Edition
- Length: 257 pages
- Publication Date: 2021-12-14
