Cracking the Machine Learning Code: Technicality or Innovation?

Cheaper in another edition — £111.50 at Springer Nature Link Shop Cracking the Machine Learning Code: Technicality or Innovation? · See that edition →

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…

The cheapest new copy of Cracking the Machine Learning Code: Technicality or Innovation? is £139.99 at Springer Nature Link Shop. Prices checked 2 Nov 2026

Other editions

More by K. C. Santosh

More by K. C. Santosh