
Notes on zkSNARKs in Nutshell

CycleGAN

Binomial confidence interval

Reinforcement Learning: Chapter 17

Reinforcement Learning: Chapter 16

Reinforcement Learning: Chapter 15

Reinforcement Learning: Chapter 14

Reinforcement Learning: Chapter 13

Reinforcement Learning: Models

Reinforcement Learning: Chapter 12

Statistical Inference 9~12

Interesting interview algorithm problems

Notes on Designing DataIntensive Applications

RCNN

YOLO

Reinforcement Learning: Chapter 11

Y Combinator 精简版

Reinforcement Learning: Chapter 10

Attention Models

AlphaGo(Zero) 学习笔记

Capsule Network

Wasserstein GAN

Reinforcement Learning: Chapter 9

Reinforcement Learning: Chapter 8

Reinforcement Learning: Chapter 7

Reinforcement Learning: Chapter 6

Reinforcement Learning: Chapter 5

Reinforcement Learning: Chapter 4

FractalNet

Y Combinator

Reinforcement Learning: Chapter 3

圣彼得堡悖论 II

Reinforcement Learning: Chapter 2

Reinforcement Learning: Chapter 1

Deep Learning: Chapter 20

Deep Learning: Chapter 19

Deep Learning: Chapter 18

Deep Learning: Chapter 17

Deep Learning: Chapter 16

Deep Learning: Chapter 15

Deep Learning: Chapter 14

Deep Learning: Chapter 13

Deep Learning: Chapter 12

Deep Learning: Chapter 11

Deep Learning: Chapter 10

变分推断

LightRNN

Deep Learning: Chapter 9

Deep Learning: Chapter 8

Deep Learning: Chapter 7

机器学习 Tom 1~4

Deep Learning: Chapter 6

Deep Learning: Chapter 5

CS224n: NLP with Deep Learning

Fourier Transform

The Elements of Statistical Learning

Practical Foundations for Programming Languages 1

Algorithms for Big Data

Geometric Approximation Algorithms

代数学引论 第一卷

Copernican Principle

Statistical Inference 5~8

信息论基础 9~17

复分析基础及工程应用 习题

复分析基础及工程应用

Statistical Inference 1~4

Learning Asymptote

信息论基础 1~8

The Design of Approximation Algorithms

圣彼得堡悖论

数学分析原理

Problem Set

Reading List
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