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CMU CS 10701 - Lecture

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Machine Learning 1010 701 15701 15 781 Spring 2008 Introduction and Density Estimation Eric Xing Lecture 1 January 14 2008 Reading Chap 1 2 CB Machine Learning 10 701 15 781 z Class webpage z http www cs cmu edu epxing Class 10701 1 Logistics z z z z Text book z Chris Bishop Pattern Recognition and Machine Learning required z Tom Mitchell Machine Learning z David Mackay Information Theory Inference and Learning Algorithms Mailing Lists z To contact the instructors 10701 08s instr cs cmu edu z Class announcements list 10701 08s announce cs cmu edu TA z Leon Gu Wean Hall 8402 x8 6569 Office hours 14 00 15 00 z Kyung Ah Sohn Doherty Hall 4302e x8 2039 Office hours Thursday 13 30 14 30 Class Assistant z Diane Stidle Wean Hall 4612 x8 1299 Logistics z z 5 homework assignments 30 of grade z Theory exercises z Implementation exercises Final project 20 of grade z Applying PGM to your research area z Theoretical and or algorithmic work z z z a more efficient approximate inference algorithm z a new sampling scheme for a non trivial model Two exams 25 of grade each z z NLP IR Computational biology vision robotics Theory exercises and or analysis Policies 2 What is Learning Apoptosis Medicine Machine Learning 3 Machine Learning Machine Learning seeks to develop theories and computer systems for z representing z classifying clustering and recognizing z reasoning under uncertainty z predicting z and reacting to z complex real world data based on the system s own experience with data and hopefully under a unified model or mathematical framework that z can be formally characterized and analyzed z can take into account human prior knowledge z can generalize and adapt across data and domains z can operate automatically and autonomously z and can be interpreted and perceived by human Where Machine Learning is being used or can be useful Information retrieval Speech recognition Computer vision Games Robotic control Pedigree Evolution Planning 4 Natural language processing and speech recognition z Now most pocket Speech Recognizers or Translators are running on some sort of learning device the more you play use them the smarter they become Object Recognition z Behind a security camera most likely there is a computer that is learning and or checking 5 Robotic Control I z The best helicopter pilot is now a computer z it runs a program that learns how to fly and make acrobatic maneuvers by itself z no taped instructions joysticks or things alike A Ng 2005 Robotic Control II z Now cars can find their own ways 6 Text Mining z z We want Reading digesting and categorizing a vast text database is too much for human Understanding Brain Activities 7 cacatcgctgcgtttcggcagctaattgccttttagaaattattttcccatttcgagaaactcgtgtgggatgccggatgcggctttcaatcacttctggcccgggatcggattgggtcacattgtctgcgggctctattgtctcgatccgc ggcgcagttcgcgtgcttagcggtcagaaaggcagagattcggttcggattgatgcgctggcagcagggcacaaagatctaatgactggcaaatcgctacaaataaattaaagtccggcggctaattaatgagcggactgaagccactttgg 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tggagtaaacgaggcgtatgcgcaacctgcacctggcggacgcggcgtatgcgcaatgtgcaattcgcttaccttctcgttgcgggtcaggaactcccagatgggaatggccgatgacgagctgatctgaatgtggaaggcgcccagcaggc aagattactttcgccgcagtcgtcatggtgtcgttgctgcttttatgttgcgtactccgcactacacggagagttcaggggattcgtgctccgtgatctgtgatccgtgttccgtgggtcaattgcacggttcggttgtgtaaccttcgtgt tctttttttttagggcccaataaaagcgcttttgtggcggcttgatagattatcacttggtttcggtggctagccaagtggctttcttctgtccgacgcacttaattgaattaaccaaacaacgagcgtggccaattcgtattatcgctgtt tacgtgtgtctcagcttgaaacgcaaaagcttgtttcacacatcggtttctcggcaagatgggggagtcagtcggtctagggagaggggcgcccaccagtcgatcacgaaaacggcgaattccaagcgaaacggaaacggagcgagcactat agtactatgtcgaacaaccgatcgcggcgatgtcagtgagtcgtcttcggacagcgctggcgctccacacgtatttaagctctgagatcggctttgggagagcgcagagagcgccatcgcacggcagagcgaaagcggcagtgagcgaaagc gagcggcagcgggtgggggatcgggagccccccgaaaaaaacagaggcgcacgtcgatgccatcggggaattggaacctcaatgtgtgggaatgtttaaatattctgtgttaggtagtgtagtttcatagactatagattctcatacagatt gagtccttcgagccgattatacacgacagcaaaatatttcagtcgcgcttgggcaaaaggcttaagcacgactcccagtccccccttacatttgtcttcctaagcccctggagccactatcaaacttgttctacgcttgcactgaaaataga accaaagtaaacaatcaaaaagaccaaaaacaataacaaccagcaccgagtcgaacatcagtgaggcattgcaaaaatttcaaagtcaagtttgcgtcgtcatcgcgtctgagtccgatcaagccgggcttgtaattgaagttgttgatgag ttactggattgtggcgaattctggtcagcatacttaacagcagcccgctaattaagcaaaataaacatatcaaattccagaatgcgacggcgccatcatcctgtttgggaattcaattcgcgggcagatcgtttaattcaattaaaaggtag aaaagggagcagaagaatgcgatcgctggaatttcctaacatcacggaccccataaatttgataagcccgagctcgctgcgttgagtcagccaccccacatccccaaatccccgccaaaagaagacagctgggttgttgactcgccagattg attgcagtggagtggacctggtcaaagaagcaccgttaatgtgctgattccattcgattccatccgggaatgcgataaagaaaggctctgatccaagcaactgcaatccggatttcgattttctctttccatttggttttgtatttacgtac aagcattctaatgaagacttggagaagacttacgttatattcagaccatcgtgcgatagaggatgagtcatttccatatggccgaaatttattatgtttactatcgtttttagaggtgttttttggacttaccaaaagaggcatttgttttc 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