FPGA Implementations of Neural Networks

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Genetic Programming Theory and Practice IX

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Integrative Bioinformatics for Biomedical Big Data: A No-Boundary Thinking Approach

Design Patterns: Elements of Reusable Object-Oriented Software

Pattern Recognition in Bioinformatics: International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings

Genetic Programming Theory and Practice XI

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Biological and Computer Vision

Clinical Applications of Artificial Intelligence in Real-World Data

Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool

Genetic Programming Theory and Practice X

Automated Machine Learning: Methods, Systems, Challenges

Machine Learning in Bioinformatics

Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Applications of Evolutionary Computing: EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, Proceedings