Applied Computational Thinking with Python: Design algorithmic solutions for complex and challenging real-world problems
- Length: 422 pages
- Publication Date: 2020-11-27
Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python
- Length: 141 pages
- Publication Date: 2019-06-27
Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
- Length: 408 pages
- Publication Date: 2020-11-27
Python Machine Learning by Example, 3rd Edition
- Length: 526 pages
- Publication Date: 2020-10-30
Introducing MLOps: How to Scale Machine Learning in the Enterprise
by Adrien Lavoillotte, Clément Stenac, Du Phan, Joachim Zentici, Kenji Lefevre, Lynn Heidmann, Makoto Miyazaki, Mark Treveil, Nicolas Omont
- Length: 186 pages
- Publication Date: 2020-12-29
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
Data Exploration Using Example-Based Methods
- Length: 164 pages
- Publication Date: 2018-11-27
The Cultural Life of Machine Learning: An Incursion into Critical AI Studies
- Length: 265 pages
- Publication Date: 2021-01-03
Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale
by Mathangi Sri
- Length: 190 pages
- Publication Date: 2020-11-30
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
- Length: 135 pages
- Publication Date: 2020-12-05