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Nội dung Text: Lecture Applied data science: Introduction
- Applied Data Science
Sonpvh, 2022
- 1. Introduction 8. Validation
2. Application 9. Regularization
3. EDA 10. Clustering
4. Learning Process 11. Evaluation
5. Bias – Variance TradeOff 12. Deployment
6. Regression 13. Ethics
7. Classification
1
- 3 -10 days
Customer Loan Paper Authentication Appraisal Disbursement
Online Application
- World bank, Korean Office, Forbes, 2020 [2] Exton Research, 2021 [3] 3
2020 [1]
- AUSTRADE Vietnam, Digital banking in Vietnam,
2018 [4]
“69% of adults in
Vietnam are
unbanked”
World Bank 2018 [5] 4
- [3]: toward data science 5
- ZingMp3: >30%
traffic
Xavier, 2014 [6]
ZOA: improve
>30% total click
and follow
Toward Data 6
Science, [7]
- Edureka, Data Science Application, 2019 7
[8]
- 8
- “At a high level, data science is a set of fundamental principles
that support and guide the principled extraction of information
and knowledge from data”
Provost and Fawcett, 2013, [9]
9
- Business week “Databased Marketing”
(1994) Prof. Moshe Zviran
Companies are collecting mountains of “ Conventional statistical methods work
John W. Tukey
information about you, crunching it to well with small data sets. Today's
“The Future of data analytics” - “I have predict how likely you are to buy a
come to feel that my central interest is databases, however, can involve millions
Thomas Bayes, product, and using that knowledge to
in data analysis… Data analysis, and the of rows and scores of columns of data “
Bayes theorem craft a marketing message precisely
parts of statistics …” (1962) (1999)
(1763) calibrated to get you to do so…
BC
Peter Naur, Danish Computer Scientist Professor C. F. Jeff Wu - University of Michigan
“Data Science - The science of dealing with data…” (1976) “Calls for statistics to be renamed data
Carl Friedrich Gauss science and statisticians to be renamed data Linked (2010)
Linear Regression, Method of least scientists.” (1997)
squares
Predict the movement of planet (1809)
(1821) The International Association for Statistical Computing (1977) 10
“It is the mission of the IASC to link traditional statistical methodology, modern Src: Gil Press, 2013 [11]
computer technology, and the knowledge of domain experts in order to convert
- 11
- Gordon Earle Moore
US Businessman
“The number of transistors in a
dense integrated circuit (IC)
doubles about every two years”
1965
12
- Bigdata, 2016 [12]
13
Smolan and Erwitt, The human face of big data, 2013 [13]
- 14
Fujitsu Journal, How digital technology will transform the world,
- Statistics Algorithms Computer Big Data 15
- “I want to
improve
something!!!”
Business
User App Data Monitoring Problems
Data Problems
Machine Learning EVALUATION
Data Warehouse
16
- The CRISP data mining process, SimpliLearn, Data science lifecycle[10]
Data science for business Book, 2013[15]
17
- 1. Application
2. EDA
Business Data 3. Learning Process
Understand Understand
ing ing 4. Bias – Variance
TradeOff
Data
Preparation 5. Regression
6. Classification
Deploymen
Modeling 7. Validation
t
8. Regularization
Evaluation
9. Clustering
10. Evaluation
✓ Technical View
✓ Product – Business View 11. Development 18
Data science for business Book, 2013[15]
- 1. https://openknowledge.worldbank.org/handle/10986/34701
2. https://www.forbes.com/sites/georgecalhoun/2020/11/16/why-china-stopped-the-ant-groups-ipopart-2-ants-dangerous-business-model/?sh=2678440158bf
3. http://extonconsulting.com/wp-content/uploads/2021/01/Report-Neobanks-2021.pdf
4. https://www.austrade.gov.au/ArticleDocuments/4569/digital-banking-vietnam-report.pdf.aspx
5. https://openknowledge.worldbank.org/bitstream/handle/10986/29654/LDB-FinInclusion2018.pdf?sequence=1&isAllowed=y
6. https://www.slideshare.net/xamat/recommender-systems-machine-learning-summer-school-2014-cmu
7. https://towardsdatascience.com/prototyping-a-recommender-system-step-by-step-part-1-knn-item-based-collaborative-filtering-637969614ea
8. https://www.edureka.co/blog/data-science-applications/
9. Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51–59.
https://doi.org/10.1089/big.2013.1508.
10. https://www.youtube.com/watch?v=X3paOmcrTjQ
11. https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/?sh=6c3e1e4c55cf
12. Hồ Tú Bảo, Khoa học dữ lieu và cách mạng công nghiệp lần thứ 4
13. Smolan and Erwitt, The human face of big data, 2013
14. Fujitsu Journal, How digital technology will transform the world, 1.2016
15. Data science for business, Foster Provost & Tom Fawcett, 2013
19
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