Mohammed Nurudeen

Machine Learning with Python: Foundations and Applications (ML, #1) (eBook, ePUB)

• Format: ePub

Produktbeschreibung

About This Book

Title: Machine Learning with Python: Foundations and Applications

This book, Machine Learning with Python: Foundations and Applications, is designed to offer a comprehensive introduction to machine learning using Python. The primary goal is to take readers from the fundamental concepts of machine learning to hands-on practical implementations using real-world examples. Python is the language of choice due to its extensive libraries, simplicity, and relevance in the data science community.

This book is divided into three main parts. The first volume focuses on understanding the basics of machine learning, key algorithms, and hands-on Python implementation. In this volume, we explore topics such as:

The theoretical foundation of machine learning

Different types of machine learning, including supervised, unsupervised, and reinforcement learning

Data preprocessing for machine learning tasks

An introduction to essential machine learning algorithms

Each chapter is carefully designed to build your knowledge step-by-step, ensuring that both beginners and those with some programming background can easily follow along.

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Produktdetails

• Verlag: Mohammed Nurudeen
• Erscheinungstermin: 28. September 2024
• Englisch
• ISBN-13: 9798227183514
• Artikelnr.: 72383853

Autorenporträt

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Dr. Nurudeen Mohammed is an accomplished researcher and educator in the fields of Computer Vision, Artificial Intelligence, and Human-Computer Interaction. With a Doctor of Engineering in Computer Application Technology and extensive experience in academia, Dr. Mohammed has led innovative IT programs and contributed significantly to curriculum development at the University of Professional Studies, Accra. He has authored numerous international publications, focusing on the transformative power of digital technologies, particularly their impact on business, education, and society. Dr. Mohammed's expertise extends to practical applications of AI in crime prediction, social media's influence on academic performance, and sustainable computing. His work is informed by a global perspective, gained through teaching in China and Ghana, and his passion for promoting digital literacy and sustainable technology solutions.