Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Edition 3

Neural Information Processing: 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part I

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Computational Intelligence in Bioinformatics

Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Clustering

Evolving Intelligent Systems: Methodology and Applications

Perceptual Computing: Aiding People in Making Subjective Judgments

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

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular machine learning techniques

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

Algorithms for Decision Making

TIME-SERIES WEATHER: FORECASTING AND PREDICTION WITH PYTHON

DATA SCIENCE CRASH COURSE: Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI

THE APPLIED DATA SCIENCE WORKSHOP: Prostate Cancer Classification and Recognition Using Machine Learning and Deep Learning with Python GUI

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

SUPERMARKET SALES ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI