Cracking the Machine Learning Code: Technicality or Innovation?
Studies in Computational Intelligence
Santosh, KC
Rizk, Rodrigue
Bajracharya, Siddhi K.
- 内容紹介:
-
The book is aimed at providing a clear guidance that one should not be limited to building pre-trained models to solve problems using the off-the-self basic building blocks. With primarily three different data types: numerical, textual, and image data, we offer practical applications such as predictive analysis for finance and housing, text mining from media/news, and abnormality screening for medical imaging informatics.