Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Februar 2024
Genre:	EDV / Informatik
ISBN:	9798869210746
EAN-Code:	9798869210746
Verlag:	Gabriel Chen
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D 9 mm
Gewicht:	240 gr
Seiten:	158
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Embark on a transformative voyage into the dynamic realm of data science and machine learning with "Journey into Data Science and Machine Learning: Data-Driven Decision Making." In an era where data is hailed as the new oil, this book serves as your trusted compass, guiding you through the intricate landscape of harnessing data to drive informed decisions. Written with clarity and depth, this comprehensive guide demystifies the intricacies of machine learning, offering readers a structured path to understanding its principles, methodologies, and real-world applications. From the fundamentals of data preprocessing to advanced predictive modeling techniques, each chapter is crafted to equip both novices and seasoned professionals with the essential tools and knowledge needed to navigate the complexities of data science with confidence. Through insightful case studies and practical examples, readers will witness firsthand the transformative power of machine learning across diverse domains, from finance and healthcare to marketing and beyond. Whether you're a business leader seeking to leverage data for strategic insights or an aspiring data scientist eager to delve into the intricacies of algorithmic intelligence, this book provides a comprehensive roadmap for unlocking the full potential of data-driven decision-making. With a blend of theoretical foundations and hands-on implementation, "Journey into Data Science and Machine Learning" transcends traditional boundaries, empowering readers to embark on a transformative journey towards becoming proficient data practitioners. Join us as we embark on a thrilling expedition into the heart of data-driven discovery, where the possibilities are as boundless as the insights waiting to be unearthed.