Cracking the Machine Learning Code: Technicality or Innovation?

by Siddhi K. Bajracharya, Rodrigue Rizk, KC Santosh

Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a compass, guiding the readers through the evolving landscape of artificial intelligence. It typically includes model selection, parameter tuning and optimization, use of pre-trained models and transfer learning, right use of limited data, model interpretability...

• Format: Hardcover
• Language: English
• ISBN: 9819727197
• ISBN13: 9789819727193
• Release Date: May 2024
• Publisher: Springer
• Length: 127 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.5" x 6.0" x 8.9"