Chuck Easttom

Machine Learning for Neuroscience (eBook, ePUB)

A Systematic Approach

• Format: ePub

Produktbeschreibung

This book addresses the growing need for machine learning and data mining in neuroscience. The book is replete with fully working machine learning code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 306
• Erscheinungstermin: 31. Juli 2023
• Englisch
• ISBN-13: 9781000907148
• Artikelnr.: 68263908

Autorenporträt

Dr. Chuck Easttom is the author of 32 books. He is an inventor with 22 computer science patents. He holds a Doctor of Science in cybersecurity, a Ph.D. in Nanotechnology, and a Ph.D. in computer science as well as three master's degrees (one in applied computer science, one in education, and one in systems engineering). He is a senior member of both the IEEE and the ACM. He is also a Distinguished Speaker of the ACM and a Distinguished Visitor of the IEEE. He has been active in the IEEE Brain Computer Interface Standards and is a member of the IEEE Engineering in Medicine and Biology Society.

Inhaltsangabe

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.