Mathematics for Machine Learning.
University of Berkeley.
100% Free.
• Linear Algebra
• Calculus and Optimization
• Probabilities
Download it here: https://t.co/pN19lhLf7y
TIL you can type "cal" in your terminal to get a calendar with the current date highlighted, and you can add a year, like "cal 2022" to get the whole year's calendar!
Thanks @redrambles for showing me! 🤯
90% of data scientists have no idea how to put their models in production.
Here is a FREE course that solves that:
• Deploy your models
• Track experiments
• Turn notebooks into pipelines
• Monitor models
You can register here for free: https://t.co/N2T3ZijHJq
handcalcs: a library to render Python calculation code automatically in Latex for your Jupyter Notebook!
In a manner that mimics handwritten math: write the symbolic formula, followed by numeric substitutions, and then the result.
https://t.co/PUjzrAbp1t
I know this app is full with traders and managers that make it seem like they are flawless, but that should be an immediate red flag when someone makes it seem like their batting average is 100%.
Drawdowns are part of the game, accept them and grow from them as a whole.
On Thursday EU votes to ban blockchain as we know it.
I've been through this twice before:
- Internet
- The Mobile Phone
The arguments for squashing every new technology are the same:
"Criminals, AML, Environment, Unsafe, Existing Practices"
This course from 1986 will help:
But summary:
1. market edges are tiny
2. data artifacts, microstructure effects, and biases you introduce are enormous by comparison
3. to do effective mining you need an excellent realistic simulation
4. but that's reallly hard
5. and you can't simulate your impact anyway
Here is a snapshot of a (small) subset of all of my Coding, Data Science and Machine Learning books. This collection would get you close to 98%-99% of all the necessary core skills to be a good Data Scientists. 1/6
Prediction: Active and/or JIT LPs will cannibalize passive LPs of any kind (even “smart passive”) - they’ll fill all benign flow through one-tick ranges (or worse, RFQ) while leaving passive LPs adversely selected. anyone have a backtest of xy=k in a mature market (i.e. futures)?
Here’s an IMF paper recommending that governments consider “financial repression” (i.e. looting public savings by pinning interest rates below inflation) as a tool for reducing national debt in advanced economies:
There is absolutely nothing wrong with being short volatility, same way there is nothing wrong with being long volatility.
Here’s where this whole thing goes wrong. When people become systematic and price agnostic, it leads to complete disaster. Markets don’t function that way.