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Machine Learning in CSC 196K

Machine Learning in CSC 196K. What motivated machine learning? What is machine Learning? Statistics and ML algorithms design. Machine learning is motivated by a class of problems. No traditional algorithmic solution Computationally expensive Traditional algorithm

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Machine Learning in CSC 196K

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  1. Machine Learning inCSC 196K What motivated machine learning? What is machine Learning? Statistics and ML algorithms design

  2. Machine learning is motivated by a class of problems • No traditional algorithmic solution • Computationally expensive • Traditional algorithm Input => algorithm => Output When algorithm=?, we may use machine learning algorithm to construct a mapping function between input and output.

  3. Input and Output for Machine Learning Algorithm • For the class of ML algorithms that generalization performance is based on a given finite number of training examples, we have: Machine Learning algorithm Mapping function Training set

  4. Statistics and ML algorithms design • ML methods overcome shortcomings of statistical methods (estimation, classification, prediction) • Learning bias – prior assumption of a Bayesian • Nonlinearproblems -- regression, linear model • Learning systems that use a hypothesis space -- hypothesis testing • Statistical learning theory (SVM -Support Vector Machine)

  5. Types of Data mining Techniques in CSC 196K • Techniques for data mining covered in csc196K • Data warehousing – OLAP and data preprocessing • Statistics • Machine learning • This course only covers data mining related ML techniques and concepts (a subset of ML methods) • Data mining is one of many applications of machine learning

  6. To Learn more on Machine Learning and Applications • CSC 219 Machine Learning • CSC 215 Artificial Intelligence • CSC 196L Intelligent Systems • Publications in CSUS Library • On-line info

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