Parallel Problem Solving from Nature-PPSN VI: 6th International Conference, Paris, France, September 18-20 2000 Proceedings

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

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

Design Patterns: Elements of Reusable Object-Oriented Software

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

Metaheuristics: From Design to Implementation

Biological and Computer Vision

Parallel Combinatorial Optimization

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

Massively Parallel Evolutionary Computation on GPGPUs

Automated Machine Learning: Methods, Systems, Challenges

Learning and Intelligent Optimization: 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers

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

Fractals in Engineering: New Trends in Theory and Applications