Data Analytics: A Small Data Approach

ISBN-13: 9780367609504 / Angielski / Twarda / 2021 / 257 str.

Shuai Huang; Houtao Deng

Opis

Highlights a combination of two aspects: technical concreteness and holistic thinking. Authors discuss what principles are used to invent these techniques, what assumptions are made, how mathematics is used to articulate these assumptions, and how these formulations generalize a range of real-world applications into generic and abstract forms.

Recenzje

"Another strength of the book is that the authors cover the regression methods comprehensively, starting from the relationship between variables, to the connections between methods. As a result, this book may be an introductory guide for health care professionals, students, and lecturers, both by showing the exercises with manual solutions and giving the R coding of the methods."
-Selen Yilmaz Isikhan in ISCB, September 2022

Spis treści

1. INTRODUCTION. 2. ABSTRACTION. 3. RECOGNITION. 4. RESONANCE. 5. LEARNING (I). 6. DIAGNOSIS. 7. LEARNING (II). 8. SCALABILITY. 9. PRAGMATISM. 10. SYNTHESIS.