Explains the theory behind Machine Learning and highlights how
Mathematics can be used in Artificial Intelligence Illustrates how
to improve existing algorithms by using advanced mathematics and
discusses how Machine Learning can support mathematical modeling
Captures how to simulate data by means of artificial neural
networks and offers cutting-edge Artificial Intelligence
technologies Emphasizes the classification of algorithms,
optimization methods, and statistical techniques Explores future
integration between Machine Learning and complex mathematical
techniques
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Series: |
Mathematics and its Applications |
| Release date: |
July 2023 |
| First published: |
2024 |
| Editors: |
Herb Kunze
• Davide La Torre
• Adam Riccoboni
• Manuel Ruiz Galán
|
| Dimensions: |
234 x 156mm (L x W) |
| Pages: |
513 |
| ISBN-13: |
978-1-03-225567-5 |
| Categories: |
Books
|
| LSN: |
1-03-225567-6 |
| Barcode: |
9781032255675 |
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