开题刷题早日跳槽

10/26
876. Middle of the Linked List
707. Design Linked List

10/27
Rest

10/28:
Naive Bayes
logistic regression derivation
review Jama paper

10/29:
忘了干啥了

10/30:
Scalable and accurate deep learning with EHR
订票

10/31:
word2vec; doc2vec

11/01:
PATIENT2VEC

f***ed up 昂塞
学艺不精不能怪社会
从头再来

收了封拒信，从头再来

CS:
-Harvard CS 50
-Udemy: Algorithms and Data Structures in Python
-Princeton: Algorithms, Part I
-Data Structures and Algorithms in Python (book)
-Leetcode easy

ML:
-CS229: http://cs229.stanford.edu/
-Review ESL +ISLR
-报了一个林轩田班
-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

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

11/29:
Algorithms and Data Structures in Python array and linked list
PMP

12/02:
CS224n: LECTURE 0

12/03:
CS224n: LECTURE 2