Reviews
It's a book on an interesting subject, and it doesn't really read if it's about translation. I don't recommend it!
The idea of hard and difficult statistics that exist in abstract numbers up there, which is a fascinating example of the great toxicity and broad author's platitudes that are drawn to everyday language.
"The Scientific Thinking Needed in the Age of Man-Immersion" recently led to a new interest in data sciences, such as big data and artificial intelligence. From programming languages like R, 105 to data visualizations such as VCD technology, such as ABC, SQL and i.e., 3a, and the United Kingdom, there was no limit to the ability of data scientists to know and have access to. And by far the most basic and essential capacity is not statistical thinking. Data-scientistry scientists have to extract
The composition of the book and the narrative method are great. You can think of it as the thing that's written in the ad. But I found two strange things in the art of betariding, which I wrote in the beginning of my book, before reading 50 pages. It may be just a misattribute, but if you see the error in the number or unit notation inside the expression, you're probably thinking, well, is that all you need to do is review the translation? Anyway, the book itself is good.
Lizian et al.: The beauty of statistics
The beauty of the most widely sold statistics/ artificial intelligence book in China is a collection of 96 statistical stories filled with fun and wisdom.
Korean title: 통계의 아름다움
Korean author: 리찌엔 외
Korean publisher: 제이펍
ISBN-13: 9791190665438
Reviews
It's a book on an interesting subject, and it doesn't really read if it's about translation. I don't recommend it!
The idea of hard and difficult statistics that exist in abstract numbers up there, which is a fascinating example of the great toxicity and broad author's platitudes that are drawn to everyday language.
"The Scientific Thinking Needed in the Age of Man-Immersion" recently led to a new interest in data sciences, such as big data and artificial intelligence. From programming languages like R, 105 to data visualizations such as VCD technology, such as ABC, SQL and i.e., 3a, and the United Kingdom, there was no limit to the ability of data scientists to know and have access to. And by far the most basic and essential capacity is not statistical thinking. Data-scientistry scientists have to extract
The composition of the book and the narrative method are great. You can think of it as the thing that's written in the ad. But I found two strange things in the art of betariding, which I wrote in the beginning of my book, before reading 50 pages. It may be just a misattribute, but if you see the error in the number or unit notation inside the expression, you're probably thinking, well, is that all you need to do is review the translation? Anyway, the book itself is good.
