(SDU) Overview September 6, 2023 4 / 57 Suggested Readings Hang Li, Statistical Machine Learning (2nd Ed.), The Tsinghua Press, 2019 Zhihua Zhou, Machine Learning, Tsinghua Press, 2016 Tom M. Mitchell 2016 Trevor Hastie, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Ed.), World Publishing Corporation, 2015 Christopher M. Bishop, Pattern Recognition and Machine Learning

condition pos = find (y == 1 ) ; neg = find ( y == 0 ) ; % Assume the f e a t u r e s are in the 2nd and 3rd % columns of x plot ( x ( pos , 2) , x ( pos , 3 ) , ’+’ ) ; hold on plot ( x ( neg , 2)

function, file IO, class, ... ■ refs: link1, link2, link3 2. Deep Learning Basics ■ Prof. Lee’s 1st & 2nd lecture videos from last year ■ ref: link1, link2 Some knowledge of NumPy will also be useful! What

Scaling up the accuracy of naïve Bayes classifiers: A decision-tree hybrid[C]// Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD), Portland, OR, 202-207, 1996

Scaling up the accuracy of naïve Bayes classifiers: A decision-tree hybrid[C]// Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD), Portland, OR, 202-207, 1996

float32) vector.set_shape((None, MAX_SEQ_LEN, WORD2VEC_LEN)) return vector, label Notice that in the 2nd for loop above, we limit the representation to the first MAX_SEQ_LEN words in the sequence. We are

Data with Neural,” 2008. [2] D. P. Kingma 和 M. Welling, “Auto-Encoding Variational Bayes,” 出处 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16