Reviews
I am a working professional with a liberal arts background who has a strong interest in data visualization. I came across this book while wondering what machine learning is. First off, the title immediately caught my eye: Simple Math! The author states that "content from high school math and first-year college level linear algebra, calculus, and probability and statistics appears occasionally." Although this covers material that liberal arts students haven't learned, I believe it will be very
Daisuke Uchi et al.: Various Graphs, Simple Math, Machine Learning with R
Machine Learning with Various Graphs, Simple Math, and R This book enables you to understand the basics of machine learning through various graphs and simple mathematics, select the appropriate model for your data, and apply machine learning to real-world data using the statistical program R. It is the optimal book for those who wish to learn machine learning even without a strong background in mathematics or programming, helping you understand concepts through practical examples rather than complex explanations. To help you select the model best suited for your data, it compares the differences between models such as Discriminant Analysis, Support Vector Machines, Logistic Regression, and Neural Models by applying the same examples. It also explains the characteristics and advantages of each model.
Korean title: 다양한 그래프, 간단한 수학, R로 배우는 머신러닝
Korean author: 우치 다이스케 외
Korean publisher: 영진닷컴
ISBN-13: 9788931461121
Reviews
I am a working professional with a liberal arts background who has a strong interest in data visualization. I came across this book while wondering what machine learning is. First off, the title immediately caught my eye: Simple Math! The author states that "content from high school math and first-year college level linear algebra, calculus, and probability and statistics appears occasionally." Although this covers material that liberal arts students haven't learned, I believe it will be very
