机器学习入门.pptx

Machine Learning ;课程目标;Machine Learning Grew out of work in AI New capability for computers Examples: Database mining Large datasets from growth of automation/web. E.g., Web click data, medical records, biology, engineering Applications can’t program by hand. E.g., Autonomous vehicles,Robot navigation, handwriting recognition, most of Natural Language Processing (NLP), Computer Vision. Self-customizing programs E.g., JD,Tamll,Amazon product recommendations Understanding human learning (brain, real AI). ;Introduction;Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed. Tom Mitchell (1998) Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. ;Classifying emails as spam or not spam. ;Machine learning algorithms: Supervised learning Unsupervised learning Others: Reinforcement learning, recommender systems. Also talk about: Practical advice for applying learning algorithms. ;;常用符号及含义;机器学习的一般过程;Introduction;Housing price prediction. ;Breast cancer (malignant, benign);Tumor Size;Treat both as classification problems. ;Introduction;;;[Source: Daphne Koller];Organize computing clusters;Of the following examples, which would you address using an unsupervised learning algorithm? (Check all that apply.) ;参数估计的方法