1. 1 2016 LENOVO INTERNAL. ALL RIGHTS RESERVED. EBG System Software Solution Machine Learning 101 Chao Yan

2. 2 Agenda What is Machine Learning ? Treads (Theory + Tools) Demo (Jupyter+Scikit-Learn )

3. 3 What is Machine Learning ? “A Field of study that gives computers the ability to learn without being explicitly programmed“ —— Arthur Samuel

4. 4 What is Machine Learning ? What is not Machine Learning? Deep search is not machine learning !

5. 5 What is Machine Learning ? Objective? Better approaching Turing Test than common algorithm The evaluator C would be aware that one of the two partners in conversation is a machine. From en.wikipedia.org Thinking of … Siri, Watson, Cleverbot, cortana…

6. 6 What is Machine Learning ? Objective ? A core objective of a learner is to generalize(predict) from its experience To computer, experience is all about : DATA

7. 7 What is Machine Learning ? How? Gather Data Clean Data Prepare input for ML Machine Learning Algorithm Test model on real data Visualise Data

8. 8 What is Machine Learning ? How? Example: Train an linear classifier ? Problem explained

9. 9 What is Machine Learning ? How? Example: Train an linear classifier Based on samples, train a model (y = x*a + b) parameter: a, b

10. 10 What is Machine Learning ? How? Example: Train an linear classifier Which model is better ? ?

11. 11 What is Machine Learning ? How? Example: Train an linear classifier Which model is better ?

12. 12 Treads(Theory Overview)

13. 13 Treads(Theory Overview)

14. 14 Treads(Theory) Deep Learning is leading the race !

15. 15 Treads(Theory) （ Yann LeCun ， Geoffrey Hinton, Yoshua Bengio, Andrew Ng) Geoff Hinton ------ Google ， Google Brain Yann Lecun ------ Director of AI Research, Facebook Yoshua Bengio ------ Université de Montréal Andrew Ng （吴恩达） ------ Baidu Brain

16. 16 Treads(Theory) “Don‘t model the World, Model the Mind.”

17. 17 Treads(Theory) “Data is king, algorithm is queen.” “ 数据是燃料， 算法是火箭 ” ------ 吴恩达

18. 18 Treads(Tools) Matlab is not trending

19. 19 Treads(Tools) Python and R are trending

20. 20 References [1] https://github.com/shantnu/Titanic-Machine-Learning [2] https://github.com/donnemartin/data-science-ipython-notebooks [3] https://en.wikipedia.org/wiki/Machine_learning [4] http://wubinblog.com/deep%20learning/2015/06/25/DL-FamousResearcher

21. 21 Demo Jupyter+Scikit-Learn

22. Chao Yan EBG System Software Solution