Santosh K Cracking the Machine Learning Code Technicality or Innovation 2024

BeMyLove

Power User
LV
5
 
Csatlakozás
2020.09.06.
Üzenetek
7,198
Reakció pontszám
74
Díjak
5

467491874_jyt812gmvri7.jpg


Santosh K Cracking the Machine Learning Code Technicality or Innovation 2024 | 5.75 MB
N/A | 143 Pages

Title: Cracking the Machine Learning Code: Technicality or Innovation?
Author: KC Santosh · Rodrigue Rizk · Siddhi K. Bajracharya
Year: 2024​



Description:
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 and explainability, feature engineering and autoML robustness and security, and computational cost - efficiency and scalability. Innovation in building machine learning models involves a continuous cycle of exploration, experimentation, and improvement, with a focus on pushing the boundaries of what is achievable while considering ethical implications and real-world applicability. 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. To facilitate comprehension and reproducibility, authors offer GitHub source code encompassing fundamental components and advanced machine learning tools.


DOWNLOAD:

Code:
            
                
                
                    
                   
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        
Code:
            
                
                
                    
                   
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        
 
Top Alul