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
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
- Length: 268 pages
- Publication Date: 2021-12-30
Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice
- Length: 394 pages
- Publication Date: 2022-01-16
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
- Length: 238 pages
- Publication Date: 2022-01-03
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
- Length: 334 pages
- Publication Date: 2021-12-18
Getting started with RPA using Automation Anywhere: Automate your day-to-day Business Processes using Automation Anywhere
- Length: 272 pages
- Publication Date: 2021-01-29