Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
- Length: 314 pages
- Publication Date: 2021-10-15
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
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
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
Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
- Length: 362 pages
- Publication Date: 2022-01-07
Software Design Patterns for Java Developers: Expert-led Approaches to Build Re-usable Software and Enterprise Applications
- Length: 282 pages
- Publication Date: 2021-11-30
Practical Simulations for Machine Learning: Using Synthetic Data for AI
- Length: 500 pages
- Publication Date: 2022-07-19
Doing AI: A Business-Centric Examination of AI Culture, Goals, and Values
- Length: 272 pages
- Publication Date: 2021-12-14