計劃進修PhD/Research討論區(47) 雀神我們知錯了

1001 回覆

7 Like 3 Dislike

第 1 頁第 2 頁第 3 頁第 4 頁第 5 頁第 6 頁第 7 頁第 8 頁第 9 頁第 10 頁第 11 頁第 12 頁第 13 頁第 14 頁第 15 頁第 16 頁第 17 頁第 18 頁第 19 頁第 20 頁第 21 頁第 22 頁第 23 頁第 24 頁第 25 頁第 26 頁第 27 頁第 28 頁第 29 頁第 30 頁第 31 頁第 32 頁第 33 頁第 34 頁第 35 頁第 36 頁第 37 頁第 38 頁第 39 頁第 40 頁第 41 頁

一言筆發 2017-12-17 10:21:56

另外有興趣想留自己Research Info既巴絲, 希望可以搵到同field既巴打傾下計或者睇下有無potential collaboration, 可以係下面個google doc填自己既資料(optional)
https://docs.google.com/spreadsheets/d/1VAW9av9mt3RnUiYU7t8NhV73P7hc5mTZc1rRccket00/edit?usp=sharing

如果你想分享下報pg經驗，或者知多啲關於報pg嘅嘢，可以入去呢個word：
https://docs.google.com/document/d/1-6RuzKFOdboyqvHGpUcDhZpLz833E2m8jEi3FJfnUCI/edit

有興趣係academic 發展，做research既巴絲入黎傾下啦

一言筆發 2017-12-17 10:23:01

數統電腦自學資源:

A. Maths:

Linear algebra:
ODE:
PDE:
Numerical analysis:
Optimisation: Boyd, S. & Vandenberghe, L. (2004). Convex Optimization. Cambridge University Press. URL https://www.stanford.edu/~boyd/cvxbook/
Elementary probability: Ross, S. M. (2014). A First Course in Probability (9th edition). Pearson.
Elementary stochastic processes:
Probability theory: Ross, S. M. (2014). Introduction to Probability Models (11th edition). Academic Press.
Stochastic calculus: Øksendal, B. (2003). Stochastic Differential Equations (6th edition). Universitext. Springer, Berlin, Heidelberg.
Measure-theoretic probability theory: Chung, K. L. (2000). A Course in Probability Theory (2nd edition). Academic Press.

B. Statistics:

Elementary statistics:
Linear models: Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied Linear Statistical Models (Vol. 4). Chicago: Irwin.
Bayesian inference: Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2014). Bayesian Data Analysis (Vol. 2). Boca Raton, FL: CRC press.
Generalized Linear Model: Myers, R. H.,‎ Montgomery, D. C.,‎ Vining G. G.,‎ Robinson T. J. (2010). Generalized Linear Models: with Applications in Engineering and the Sciences (2nd Edition). Wiley.
Multilevel models:
Multivariate:
Study design:
Time series: Tsay, R. S. (2010). Analysis of Financial Time Series (3rd edition). Wiley.
Categorical data analysis: Agresti, A. (2007). An Introduction to Categorical Data Analysis (2nd Edition), Wiley Series in Probability and Statistics. Wiley.
Bootstrap: Efron, B. & Tibshirani, R. (1994). An Introduction to the Bootstrap. Chapman and Hall/CRC.
Statistical inference: Casella, G. &‎ Berger, R. L. (2001). Statistical Inference (2nd Edition). Duxbury Press.
Statistical learning: Hastie, T.,‎ Tibshirani, R. & Friedman J. (2016). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition), Springer Series in Statistics. Springer.

C. Computer Science:

Basic programming:
Information retrieval:
Computational phylogenetics:
Machine learning: Bishop, C. M. (2011). Pattern Recognition and Machine Learning. Springer.
Deep learning: Goodfellow, I., Bengio, Y. & Courville, A. (2016). Deep Learning. The MIT Press.

歡迎大家繼續擴充