Overview

This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for deep learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting. They will also benefit from deep learning by optimizing models for image processing, natural language processing, and specialized applications. The reader can put theory into practice with hands-on case studies and code examples, reinforcing their understanding.

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9789355519818

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Since 2009, Mirza Rahim Baig has been exploring, practicing, learning, and teaching all things machine learning/artificial intelligence. He is a seasoned data science expert and renowned thought leader. Rahim is adept at solving complex business problems using AI/ML in a career spanning multiple domains and geographies. Numerous job titles aside, his focus has always been using data science to solve business problems and create high impact.

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