开题刷题早日跳槽

10/04:
Leetcode: 448& 387
CS161: Merge sort###########################################

11/22
挂了面试，从头再来


11/27/2018:
CS:
-Harvard CS 50
-Udemy: Algorithms and Data Structures in Python
-Princeton: Algorithms, Part I
-Data Structures and Algorithms in Python (book) - https://www.educative.io/collect ... n_code=1Point3Acres
-Leetcode easy

ML:
-报了一个林轩田班: Machine Learning Foundations & Machine Learning Techniques
-CS229: http://cs229.stanford.edu/ 再来一遍
-Review ESL +ISLR
-Mathematics for Machine Learning: https://mml-book.github.io/
-西瓜书 maybe

DL:
-花书
-Coursera: Deep Learning Specialization 再来一遍
-Stanford: CS224n: Natural Language Processing with Deep Learning
-Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) book by Yoav Goldberg

Probability and statistics:
-Statistical Inference Book by George Casella and Roger L. Berger
-Fundamentals Of Biostatistics Book by Bernard Rosner
-http://www.wzchen.com/probability-cheatsheet/
-Statistics and data analysis (by Ajit Tamhane)
-Applied Linear Statistical Models by Kutner, Michael H., Nachtsheim, Christopher J., Neter, John
-Review time series analysis/survival analysis/longitudinal analysis

Causal inference:
-Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction by Guido W. Imbens, Donald B. Rubin
-Causal Inference in Statistics: A Primer by Judea Pearl, Madelyn Glymour (Author), Nicholas P. Jewell
-Causality: Models, Reasoning and Inference by Judea Pearl

10/12:
selection sort, quick sort,

10/07:
Leetcode: 463, 657, 760, 832 (finished #Google #easy)Review

12/05:
Machine Learning Techniques SVM

10/05:
Merge sort
Andrew Ny DL: transfer learning

10/06:
修电脑

10/08:
Andrew Ny: deep learning (object detection)
Leetcode: 804Binary tree

楼主加油，一起加油

楼主要加油哦。我也在战拖。一起努力跳槽！

10/09: 老板来视察工作偷懒一天

10/10: AOS interview 又偷懒一天

10/11:
Andrew Ny: RNN week 1

ISLR: chapter 1 and 2

long commute 懒得不忍直视了