Список рекомендованої літератури
📖 Список рекомендованої літератури
Книги:
- Brown, N. (Ed.) Artificial Intelligence in Drug Discovery. Royal Society of Chemistry, 2020. ISBN: 978-1-78801-547-5. DOI: 10.1039/9781839162300
- Gasteiger, J., Engel, T. Chemoinformatics: A Textbook. Wiley-VCH, 2021. ISBN: 978-3-527-34573-4
- Bishop, C. M. Pattern Recognition and Machine Learning. Springer, 2006. ISBN: 978-0-387-31073-2
- Murphy, K. P. Probabilistic Machine Learning: An Introduction. MIT Press, 2022. ISBN: 978-0-262-54275-3
Наукові статті:
- "Deep Learning in Chemistry", Nature Reviews Chemistry, 2021. DOI: 10.1038/s41570-021-00285-4
- "AI-driven molecular discovery and design", Chemical Science, 2022. DOI: 10.1039/D2SC00032B
- "Application of machine learning in chemical synthesis", Journal of Chemical Information and Modeling, 2023. DOI: 10.1021/acs.jcim.3c000
Онлайн-курси:
- "Introduction to AI for Chemists" (Coursera)
- "Deep Learning for Chemistry" (Udacity)
- "Data Science for Chemistry" (EdX)
Ostatnia modyfikacja: Thursday, 6 March 2025, 14:37