{"product_id":"kc-santosh-cracking-the-machine-learning-code-technicality-or-innovation-9789819727223","title":"Cracking the Machine Learning Code: Technicality or Innovation?","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.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53685772157270,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9789819727223_1.jpg?v=1778853790","url":"https:\/\/www.momoxbooks.com\/products\/kc-santosh-cracking-the-machine-learning-code-technicality-or-innovation-9789819727223","provider":"momoxbooks","version":"1.0","type":"link"}