Useful wesites, learning resource for quant, machine/statistical learning and visualization. Some to be subscripted using rss

Useful wesites.md

Todo list

To include in wechat readings

• Google portable ML chiop

• Awesome-Scene-Text-Recognition

0731 Due

• Spine Garch

• DCC impliemention

• Interpretation of DCC-GARCH

• GARCH stata

• 2-stage dccmvt estimation

• translation of japan

Bayes

keynotes for bayes rule

Later...

• DCC GARCH Python

• Machine Learning with R

• ML Classification, Regression and Clustering

Research Papers and Notes

• To DIGEST very basic intro to NN

• https://marginalrevolution.com/marginalrevolution/2018/07/corruption-sensitive-soccer-games.html

Machine Learning with Python

Booklist

• Guardian' Summer Best book list

Python

• The Smallest Common multiple

Baysian Learning

• https://frnsys.com/ai_notes/machine_learning/bayesian_learning.html

• https://www.youtube.com/watch?v=C2OUfJW5UNM

• http://scikit-learn.org/stable/modules/naive_bayes.html

ML

• https://www.reddit.com/r/MachineLearning/comments/3ypmvz/book_most_similar_to_andrew_ngs_course/
• Andew Ng's stanford ML course
• ML training intro
• ML training advanced
• Intro to ML with Python

Caffe Project/Human detencion

• DL for Vision

Econometrics

• Econometrics Problem Sets

Stories, Stats and scatterplots and R Language

The phrasing "Story, stats and scatterplots" is stolen from John Burn-Murdoch's brief intro in twitter

• blog

• Visualization for ML

• Backpropagation Explained

• 3Blue1Brown:Gradient descent, how neural networks learn |

• Math, Stat and Functional Programming

• HandlandR

• An academic blog by a post-doc

Resouce and Survey

• pew Research center survey

Time and other format matters in R

• Berkeley R Ref Book

• R Code Fragments

Some elegant reproducible codes.

ETC...

• other resource

Something seeming noise but maybe useful and comprehensive

• Data Wrangling in Rpubs

Tidy and Cast///投影？？

• Data Tidying

Visualization

• kindred Britain

Kindred Britain is a network of nearly 30,000 individuals — many of them iconic figures in British culture — connected through family relationships of blood, marriage, or affiliation. It is a vision of the nation’s history as a giant family affair.

• The Functional Art

Blogs on R language

• https://vijaybarve.wordpress.com

• http://erikjanvankesteren.nl/blog/characteristic-function/

C

References with a broad background

覆盖不同知识背景的参考

• IOS9899

Quant

a Swiss Army Knife for Quants

Differetial/Statistical/Reinforcement Learning

• Deep RL Bootcamp Lecture 4B Policy Gradients Revisited

Instructed by Andeej Karpathy(Tesla). introduce some intuitition behind.

Economics and Finance

• Adam Tooze

• A blog HELPING PEOPLE UNDERSTAND THE ECONOMY, HOUSING AND MORTGAGE MARKETS

• Ch.1 What is city

• Online textbook for forecast

In the blog, the author uses R to illustrate and tell.

YouTube

• 秋山雙語時間特別期

Natural Philosphy

• Supersuppostion of State in Quantum Mechanics

修辞 and Persuasion

• Has science disproved religion? Steven Pinker vs Nick Spencer

  • dabate

  Category Theory and Haskell

• De Javascript à Haskell : la programmation fonctionnelle expliquée simplement (par Xavier Detant)

• Luite Stegeman: Making sense of all the JS (GHCJS)

• Lambda calculus

• Why I should Learn Hasekell

• Why i should using Monad

• Brian Beckman: Don't fear the Monad

• "Dependent Types in Haskell" by Stephanie Weirich

• Why Do Monads Matter?

• Category Theory for the Working Hacker by Philip Wadler

• #lambda world

• Functional Programming & Haskell - Computerphile

• Functional Programming & Haskell - Computerphile

Magic Spell

Scripts make life more easy

• [] Eaier Life