Machine Learning: 2 Books in 1 – The Complete Guide for Beginners to Master Neural Networks, Artificial Intelligence, and Data Science with Python
- Length: 244 pages
- Publication Date: 2020-12-13
Introducing MLOps: How to Scale Machine Learning in the Enterprise
- Length: 186 pages
- Publication Date: 2020-12-29
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
- Length: 586 pages
- Publication Date: 2020-10-16
Python Machine Learning: The Complete Guide to Understand Python Machine Learning for Beginners and Artificial Intelligence
- Length: 129 pages
- Publication Date: 2020-11-30
Practical Fairness: Achieving Fair and Secure Data Models
- Length: 326 pages
- Publication Date: 2020-12-29
Foundations of Discrete Mathematics with Algorithms and Programming
- Length: 534 pages
- Publication Date: 2018-10-17
Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible Python machine learning and extreme gradient boosting with Python
- Length: 243 pages
- Publication Date: 2020-11-10
Practical AI on the Google Cloud Platform: Utilizing Google’s State-of-the-Art AI Cloud Services
- Length: 394 pages
- Publication Date: 2020-11-10
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
- Length: 408 pages
- Publication Date: 2020-11-03