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 Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch
- Length: 316 pages
- Publication Date: 2020-12-13
Hands-on Neuroevolution with Python
- Length: 321 pages
- Publication Date: 2020-01-09
Soft Computing: Neuro-Fuzzy and Genetic Algorithms
- Length: 595 pages
- Publication Date: 2013-01-01
Grokking Deep Reinforcement Learning
- Length: 450 pages
- Publication Date: 2019-07-16
Deep Learning Applications and Intelligent Decision Making in Engineering
by Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Karthikrajan Senthilnathan, Ravi Samikannu
- Length: 335 pages
- Publication Date: 2020-10-23
Artificial Intelligence with Python Cookbook
by Ben Auffarth
- Length: 468 pages
- Publication Date: 2020-10-30
Practical Fairness: Achieving Fair and Secure Data Models
- Length: 326 pages
- Publication Date: 2020-12-29
Statistical Significance Testing for Natural Language Processing
- Length: 116 pages
- Publication Date: 2020-04-03
Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible Python machine learning and extreme gradient boosting with Python
by Corey Wade
- Length: 243 pages
- Publication Date: 2020-11-10
Probabilistic Deep Learning with Python
- Length: 252 pages
- Publication Date: 2020-06-09