Data Science for the STEM undergrad

Lightning talk I gave at PyData 2017

Transcript

1. Data Science for the STEM undergrad Mohammad Athar MohammadAthar.com
2. Agenda • About me • What is data science and machine learning (DSML) • Benefits of learning DSML • Benefits of proficiency in python libraries • *ATLAB s*cks • Why STEM needs DSML • Why STEM students are best positioned for DSML education • Basic techniques and best practices • Python libraries
3. Agenda •Talk about Data Science for the STEM undergrad
4. What is Data Science?
5. What is Data Science? •5 types of questions
6. 5 types of questions •5 types of questions •Is this A/B (classification)
7. What is Data Science? •5 types of questions •Is this A/B (classification) •Is this weird (anomaly detection) © Wikimedia commons
8. What is Data Science? •5 types of questions •Is this A/B (classification) •Is this weird (anomaly detection) •How much (regression) © Wikimedia commons
9. What is Data Science? •5 types of questions •Is this A/B (classification) •Is this weird (anomaly detection) •How much (regression) •How are the data organized (clustering) © Wikimedia commons
10. What is Data Science? •5 types of questions •Is this A/B (classification) •Is this weird (anomaly detection) •How much (regression) •How are the data organized (clustering) •What next (reinforcement) © Wikimedia commons
11. What is machine learning? •Programming Inputs Program Computer Outputs Inputs Outputs Computer Program •Machine learning NEW inputs! NEW OUTPUTS!
12. Why learn DSML
13. Why learn DSML • Everywhere • Face (emotion!) detection © Steve Jurvetson: https://www.flickr.com/photos/jurvetson/6866541534
14. Why learn DSML • Everywhere • Face (emotion!) detection • Self driving cars © Epety ET: https://www.youtube.com/watch?v=kMMbW96nMW8
15. Why learn DSML • Everywhere • Face (emotion!) detection • Self driving cars • Weather forecasting © NOAA https://www.ncdc.noaa.gov/news/historical-probability-of-white-christmas
16. Why learn DSML • Everywhere • Face (emotion!) detection • Self driving cars • Weather forecasting • Easy • Calculus • Statistics and probability • Linear algebra • Programming © Randall Munroe: https://xkcd.com/1838/
17. Calculus
18. Linear algebra
19. Linear algebra
20. Statistics http://explosm.net/comics/2964/
21. Why learn machine learning • Everywhere • Face (emotion!) detection • Self driving cars • Weather forecasting • Easy • Calculus • Statistics • Linear algebra • Programming • Python • scikit-learn © Randall Munroe: https://xkcd.com/353/
22. Python is awesome import sklearn.linear_model as LM X = np.array([1,2,3,4,5]).reshape(-1,1) X = X.astype(float) Y = np.array([1,3,3,3,5]).reshape(-1,1) Y = Y.astype(float) m_model = LM.LinearRegression() m_model.fit(X,Y) print( 'Y = ' +str( m_model.coef_[0][0]) + '*X+’ +\ str(m_model.intercept_[0])) >>Y = 0.8*X+0.6
23. No other ML package is as succinct and well thought out a sci-kit learn Jake VanderPlas, PyData 2017
24. Why STEM needs DSML © Wikimedia commons
25. Why STEM needs DSML © Wikimedia commons
26. Why STEM needs DSML • Analysis Stolen from: http://hyperphysics.phy-astr.gsu.edu/
27. Why STEM needs DSML • Analysis • Testing Stolen from http://www.trucktrend.com/
28. • Analysis • Testing • Simulation https://www.youtube.com/watch?v=mcJWK0N6i-o
29. With apologies to test engineers Testing Simulation Analysis DSML
30. With apologies to test engineers Testing Simulation Analysis DSML
32. How do we proceed? • Students • Petition your school for a data science minor • Check your statistics department • Choose DSML-oriented solutions • Educators • Introduce programming early • Create DSML-oriented examples/solutions • Practitioners • Engage highschool/undergrad students/interns • Offer adult education seminars at your library • Get involved in politics! • Vote/volunteer for STEM-positive persons • RUN on a STEM-positive platform!
33. Thanks!