A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
- Length: 280 pages
- Publication Date: 2019-06-07
Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python
- Length: 340 pages
- Publication Date: 2022-02-04
Python Architecture Patterns: Master API design, event-driven structures, and package management in Python
- Length: 594 pages
- Publication Date: 2022-01-12
Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way
- Length: 278 pages
- Publication Date: 2019-06-21
The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting
- Length: 440 pages
- Publication Date: 2022-01-21
Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations
- Length: 233 pages
- Publication Date: 2021-12-17
Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods
- Length: 366 pages
- Publication Date: 2021-12-16
GPT-3: Building Innovative NLP Products Using Large Language Models
- Length: 175 pages
- Publication Date: 2022-06-14
Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value
- Length: 344 pages
- Publication Date: 2021-12-24
Modern Marketing Using AI: Leverage AI-enabled Marketing Automation and Insights to Drive Customer Journeys and Maximize Your Brand Equity
- Length: 330 pages
- Publication Date: 2021-12-22