Talk 1: Why data science? - An Mai (Vietnamese, slides in English) Bài talk sẽ tập trung vào một số hạng mục (ở mức high level): - giới thiệu tới người nghe về Data Science - tại sao chúng ta cần Data Science trong thời đại hôm nay, cũng như cơ hội và triển vọng của Data Science trong Business sẽ như thế nào - Những tiêu chuẩn để có thể trở thành 1 Data Scientist - Demo cho 1 bài topic modeling (1 trong những chủ đề hot nhất trong Data Science hiện nay) Về speaker: TS. Mai Hoàng Bảo Ân hoàn thành luận văn tiến sĩ tại trường kĩ sư Ecole Centrale Lille, Pháp trong lĩnh vực thống kê ứng dụng. Hiện tại, TS Ân đang làm công tác giảng dạy, nghiên cứu tại viện JVN thuộc ĐHQG, TPHCM và đồng thời là Data Scientist của công ty Tenpoint7 LLC (1 công ty chuyên về Data Consulting). TS Ân đã có nhiều năm làm việc trong phân tích dữ liệu và giúp đỡ khách hàng khám phá những hiểu biết từ dữ liệu của họ và xem tác động của các dữ liệu đó tới các mô hình kinh doanh của doanh nghiệp thông qua nhiều kỹ thuật từ học máy và thống kê, etc.

1. John von Neumann Institute - Viet Nam National University Ho Chi Minh City
Why Data Science?
April, 2016
John von Neumann Institute - Vietnam National University
Tenpoint7 LLC
An Mai
Data Scientist & Researcher

2. What is Data Science?
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3. Information is extremely important
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4. Data => Information
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5. In the computer era - digitizing data
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6. data explodes => too much information
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7. Analyzing data & Extracting useful information?
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8. Any solution?
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9. Development of Computer science & Technologies
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10. Wise methods for data storage
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11. Math/Stats & Learning/Mining Algorithms
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12. Richness of tools & APIs
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13. Data Science today
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Bring
Science
to
data

14. Application in business analysis
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15. Supporting financial service
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16. Recommendation system
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17. Analyzing social networks =>
digital marketing/e-commerce
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18. Improving visualization - effective Reporting
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19. And even in politics
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20. What are in the end …
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21. Richness
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22. That’s why…
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23. The salary?
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24. Some big data companies
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25. Data Science in the next two years?
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26. So, what is data scientist?
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27. Or just a mixing
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28. In general, profile of a data scientist
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29. Simply, a normal person with well-prepared skills
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30. Intellectual curiosity is essential
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31. Love what you do
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32. Be confident & a hands-on person
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33. Requirement of team-work
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34. A general data science discovery life cycle
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35. Some of our real projects
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36. Metia’s project – topics distribution of Dell
owned contents
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5.9% 6.1% 7.0% 6.7% 7.1%
3.8% 2.6%
6.1% 6.0% 5.2%2.6% 1.7%
6.1% 5.8% 4.0%2.9%
1.8%
6.1% 5.8%
4.9%4.3%
3.4%
6.5% 6.2%
4.7%6.6%
6.5%
6.9%
6.8%
8.1%5.0%
3.8%
6.5%
6.5%
6.8%
6.5%
6.0%
6.6% 6.9%
6.2%10.6%
12.4%
7.2% 7.4%
7.5%6.1%
4.3%
6.6% 6.7%
6.3%4.0%
2.7%
6.8% 6.1%
4.9%10.7%
17.2%
6.9% 7.5%
8.6%
6.5% 5.7%
6.8% 6.7%
6.2%
13.7% 16.5%
6.8% 7.7%
10.4%
10.6% 9.2% 7.0% 7.3% 9.0%
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
120.0%
Blog Case Study Face Book Twitter Web Site
Chart Title
Mobility DELL Eco-Sustem Events & Conferences Data Performance
DELL Healthcare DELL SAP HANA Data Management and Storage Cloud Solution
Big Data & IoT Storage Performance DELL Wyse Being Data Driven
Learning Technology Solution & Service Security

37. Distribution of words
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38. “stay hungry stay foolish”
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The
world
is
yours,
keep
going
ahead

39. John von Neumann Institute - Viet Nam National University Ho Chi Minh City
Thank you for your
listening