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Oliver Kramer
Oliver Kramer is Professor of Computational Intelligence at the University of Oldenburg, Germany. His research focuses on evolutionary computation, machine learning, and large language model–based cognitive architectures, with applications in optimization, bioinformatics, and artificial general intelligence. He has authored numerous books and articles and has presented his work at leading conferences such as GECCO, CEC, and ESANN. His interdisciplinary projects explore connections between AI, biology, and cognitive science.
Artificial Intelligence Essentials
The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama.
Artificial Intelligence Essentials
The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama.