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· 제목 : Machine Learning for Neuroscience : A Systematic Approach (Paperback)
· 분류 : 외국도서 > 과학/수학/생태 > 과학 > 생명과학 > 신경과학
· ISBN : 9781032137278
· 쪽수 : 306쪽
· 출판일 : 2025-07-30
· 분류 : 외국도서 > 과학/수학/생태 > 과학 > 생명과학 > 신경과학
· ISBN : 9781032137278
· 쪽수 : 306쪽
· 출판일 : 2025-07-30
목차
1. Basic Linear Algebra. 2. Overview of Statistics. 3. Introduction to Python Programming. 4. More with Python. 5. General Neuroanatomy and physiology. 6. Cellular neuroscience. 7. Neurological disorders. 8. Introduction to Computational Neuroscience. 9. Overview of machine learning. 10. Artificial Neural Networks. 11. More with ANN. 12. K Means Clustering. 13. K Nearest Neighbors. 14. Self Organizing Maps.
