Machine learning for neuroscience : a systematic approach /: a systematic approach. (2023)

• Record Type: Book
• Further Information: Note: Chuck Easttom.
• Authors: Easttom, Chuck
• Contents: 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.
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (278 pages), illustrations (black and white)
• Subjects: 612.80285631; Neurosciences -- Data processing; Machine learning; Computational neuroscience
• Languages: English
• ISBNs: 9781000907148; 9781000907124
• Related ISBNs: 9781032136721
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.