Reviews
This book covers general data science in an encyclopedic format. Since it explains concepts simply based on keywords, it is suitable for beginners looking to grasp the overall picture of data science. However, it is not sufficient to use this for any actual project.
This is a guide worth keeping by your side when trying to study the field of data science, where new terminology seems to abound every time you wake up.
Data science is related to statistics, machine learning, and various fields of computer science, so building knowledge systematically requires studying a wide range of books over a long period; consequently, it is a field that is difficult for beginners to approach easily. I think this book is good because it explains data science, which is difficult to understand through text alone, in an easy-to-understand way using illustrations. It is a book I would recommend to beginners.
Recommendations for alternative products when shopping online or notifications from credit card companies to cardholders when suspicious purchasing behavior is detected are all thanks to data science powered by algorithms. Data science is connected not only to statistics and machine learning but also to various fields of computer science. Building knowledge systematically requires studying a wide range of books over a long period, making it difficult for beginners to easily visualize the
Hisano Ryohei et al.: Learning Data Science with Pictures
A Quick Look at the World of Data Science The field of data science is vast, and the skills and capabilities required are not simple. This book organizes the IT skills and knowledge necessary to understand data science, presenting them at a glance through illustrations. It covers not only statistics, data analysis, and machine learning, but also fundamental computer science technologies—such as hardware, software, algorithms, and programming languages—which are often omitted in general data science books. Its key feature is that it allows you to grasp the various foundational technologies of data science at a glance through easy-to-understand and user-friendly explanations and diagrams.
Korean title: 그림으로 배우는 데이터 과학
Korean author: 히사노 료헤이 외
Korean publisher: 영진닷컴
ISBN-13: 9788931460254
Reviews
This book covers general data science in an encyclopedic format. Since it explains concepts simply based on keywords, it is suitable for beginners looking to grasp the overall picture of data science. However, it is not sufficient to use this for any actual project.
This is a guide worth keeping by your side when trying to study the field of data science, where new terminology seems to abound every time you wake up.
Data science is related to statistics, machine learning, and various fields of computer science, so building knowledge systematically requires studying a wide range of books over a long period; consequently, it is a field that is difficult for beginners to approach easily. I think this book is good because it explains data science, which is difficult to understand through text alone, in an easy-to-understand way using illustrations. It is a book I would recommend to beginners.
Recommendations for alternative products when shopping online or notifications from credit card companies to cardholders when suspicious purchasing behavior is detected are all thanks to data science powered by algorithms. Data science is connected not only to statistics and machine learning but also to various fields of computer science. Building knowledge systematically requires studying a wide range of books over a long period, making it difficult for beginners to easily visualize the
