[Book Review]매출을 올리는 데이터 사이언티스트

Kyeonghee RYU·2022년 3월 1일
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Book Review

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Today, I post a book review on my velog for the first time.
The first book to review is '매출을 올리는 데이터 사이언티스트(Data Scientist Who Raises Sales)'.
I wanted to briefly review this book to remember what I learned and felt.

This book has five parts.

  1. Understanding business and AI.
  2. Utilization of AI and data science to boost sales.
  3. Data Scientist's Weapon that Leads Business to Success
  4. Analysis of success factors using AI and data.
  5. 7 Requirements for Data Scientists

I received this book as a gift to get an answer on how to use data analysis in business. So, I learned a lot in the part, which is chapter 3, about the relationship between business and data analysis. The most memorable fact in this part is that companies hesitate to introduce and utilize AI technology because they cannot distinguish between effect and efficiency. According to this book, efficiency can only be considered after the effect appears. At the beginning of AI's introduction, since we need to invest more time and money compared to the results, we need to consider effects, not efficiency. By enduring these risks, it will be possible to become a company that generates sales through AI.

And I gotta review in the last part, which was most impressive to me. Since I have never participated in a project as a data scientist yet, I cannot realize the capabilities of the data scientist through experience.Therefore, I wanted to hear from the incumbent about the requirements that data scientists should have. Overall, It said that data scientists should be objective, open, and able to question natural thing. Among them, the most impressive was the ability to ask yourself why, because I'm already aware of this, but I'm not practicing it. In a project to develop a smart mirror, I experienced developing a cosmetics recommendation system. When seeking similarity between users, my mentor pointed out that I had never questioned myself why I used cosine similarity without doubt. In addition, his words that nothing is natural for data scientists still affect my life a lot. In the stage of starting as a data scientist, I want to achieve this through effort.

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2022년 3월 1일

👍👍👍 좋은 동기부여 받아갑니다~

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