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1 2016 LENOVO INTERNAL. ALL RIGHTS RESERVED. EBG System Software Solution Machine Learning 101 Chao Yan
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2 Agenda What is Machine Learning ? Treads (Theory + Tools) Demo (Jupyter+Scikit-Learn )
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3 What is Machine Learning ? “A Field of study that gives computers the ability to learn without being explicitly programmed“ —— Arthur Samuel
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4 What is Machine Learning ? What is not Machine Learning? Deep search is not machine learning !
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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…
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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
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7 What is Machine Learning ? How? Gather Data Clean Data Prepare input for ML Machine Learning Algorithm Test model on real data Visualise Data
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8 What is Machine Learning ? How? Example: Train an linear classifier ? Problem explained
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9 What is Machine Learning ? How? Example: Train an linear classifier Based on samples, train a model (y = x*a + b) parameter: a, b
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10 What is Machine Learning ? How? Example: Train an linear classifier Which model is better ? ?
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11 What is Machine Learning ? How? Example: Train an linear classifier Which model is better ?
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12 Treads(Theory Overview)
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13 Treads(Theory Overview)
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14 Treads(Theory) Deep Learning is leading the race !
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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
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16 Treads(Theory) “Don‘t model the World, Model the Mind.”
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17 Treads(Theory) “Data is king, algorithm is queen.” “ 数据是燃料, 算法是火箭 ” ------ 吴恩达
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18 Treads(Tools) Matlab is not trending
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19 Treads(Tools) Python and R are trending
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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
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21 Demo Jupyter+Scikit-Learn
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Chao Yan EBG System Software Solution
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