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Machine Learning & Bioinformatics Tien-Hao Chang (Darby Chang) Machine Learning & Bioinformatics 1.

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Presentation on theme: "Machine Learning & Bioinformatics Tien-Hao Chang (Darby Chang) Machine Learning & Bioinformatics 1."— Presentation transcript:

1 Machine Learning & Bioinformatics Tien-Hao Chang (Darby Chang) Machine Learning & Bioinformatics 1

2 About me Tien-Hao Chang Darby Chang Machine Learning & Bioinformatics 2

3 Today Lists of questions Machine Learning & Bioinformatics 3

4 When to dismiss? Soon Machine Learning & Bioinformatics 4

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6 Exam Zero Machine Learning & Bioinformatics 6

7 But Machine Learning & Bioinformatics 7

8 8 There are exercises and projects!

9 How many? Machine Learning & Bioinformatics 9

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11 Any Questions? Machine Learning & Bioinformatics 11

12 Remember in this class Machine Learning & Bioinformatics 12

13 Good exercises/projects 5% per exercise 30% per project Machine Learning & Bioinformatics 13

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15 Are benefit Good exercises/projects Good participation Machine Learning & Bioinformatics 15

16 Requirements Machine Learning & Bioinformatics 16

17 Mathematics Programming Machine Learning & Bioinformatics 17

18 No biology? Machine Learning & Bioinformatics 18

19 Yes, I will explain necessary biology background Machine Learning & Bioinformatics 19

20 Content? Machine Learning & Bioinformatics 20

21 No textbook Machine Learning & Bioinformatics 21

22 Machine Learning & Bioinformatics 22 Some good books to read

23 Machine Learning & Bioinformatics 23 Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)

24 Machine Learning & Bioinformatics 24 Protein Structure and Function

25 Machine Learning & Bioinformatics 25 Fundamental Concepts of Bioinformatics

26 Machine Learning & Bioinformatics 26 Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis

27 Homepage Machine Learning & Bioinformatics 27

28 Any Questions? Machine Learning & Bioinformatics 28

29 ~6 exercises, ~2 projects Mathematics & programming You are welcome to interrupt me, anytime! Machine Learning & Bioinformatics 29


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