Dr. Yaser S. Abu-Mostafa is Professor at the California Institute of Technology. His areas of expertise are Machine Learning and Computational Finance. He received his PhD from Caltech where he was awarded the Clauser Prize for the most original doctoral thesis, and later received the Feynman Prize for excellence in teaching. In 2005, the Hertz Foundation established the Abu-Mostafa Fellowship in his honor. He has served as scientific advisor to several corporations and start-up companies in the US and abroad. He has travelled extensively and is fluent in 3 languages.
Malik Magdon Ismail obtained a B.S. in Physics from Yale University in 1993 (summa cum laude, phi beta kappa) and a Masters in Physics (1995) and a PhD in Electrical Engineering with a minor in Physics from the California Institute of Technology in 1998, winning the Wilts prize. He is currently a professor of Computer Science at Rensselaer Polytechnic Institute (RPI), where he is a member of the Theory group. His research interests have included the theory and applications of machine learning, social network algorithms, communication networks and computational finance. In particular, he is interested in the statistical, theoretical and algorithmic aspects of learning from data. He also has consulted in a variety of capacities in computational finance and data mining.
Hsuan-Tien Lin received a B.S. in Computer Science and Information Engineering from National Taiwan University in 2001, an M.S. and a Ph.D. in Computer Science from California Institute of Technology in 2005 and 2008, respectively. He joined the Department of Computer Science and Information Engineering at National Taiwan University as an assistant professor in 2008, and won the outstanding teaching award from the university in 2011. His research interests include theoretical foundations of machine learning, studies on new learning problems, and improvements on learning algorithms. He received the 2012 K.-T. Li Young Researcher Award from the ACM Taipei Chapter, and co-led the team that won the third place of KDDCup 2009 slow track, the champion of KDDCup 2010, and the double-champion of the two tracks in KDDCup 2011.
2 有用 世界迷宫 2017-11-26 12:40:56
入门还得看原版. 比西瓜书好很多. 1. 逻辑清晰, 层层深入, 还有配套视频与练习 2. 有专门的论坛, 里面可以查阅后续部分的算法 3. 书中的练习有足够的引导, 让读者更容易理解书中内容(如果你一个个exercise完成的话)
0 有用 R2D2 2014-07-13 23:47:24
从入门学起(其实没仔细读完)
0 有用 噗赛 2023-09-14 02:21:19 上海
solid thinking frame of “learning” , 配合林軒田老师的“機器學習基石”食用
0 有用 Wolong 2022-04-04 12:40:20
机器学习基石
0 有用 施威林先生 2022-01-03 11:31:11
非常简明浓缩的Learning Theory。(补标,应该是2015年读过)