This week on the web
The hard lessons of modelling the coronavirus. In the fight against COVID-19, disease modelers have struggled with misunderstanding and misuse of their work. They have also come to realize how unready the state of modeling was for this pandemic.
A Quantum Computer for $5K? A cheap, portable quantum computer, aimed at schools and colleges will be launched later this year. A Chinese start-up has unveiled plans to sell a desktop quantum computer costing less than $5,000. The new portable device is one of a range called SpinQ, aimed at schools and colleges. It is made by the Shenzhen SpinQ Technology, based in Shenzhen, China.
New Quantum Algorithms Finally Crack Nonlinear Equations. Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.
Scaling an ML Team. Leaders (Engineering Managers, Tech Leads, Product Managers, etc.) have to think about how to create the right team structure to make ML projects successful. Here’s some lessons.
GuitarML. Tube amps and ML. Is it possible?
This is how we lost control of our faces. The largest ever study of facial-recognition data shows how much the rise of deep learning has fueled a loss of privacy.
OReilly 2021 trends in Programming, OPS and AI.
Unlimited computer fractals can help train AI to see. Large datasets like ImageNet have supercharged the last 10 years of AI vision, but they are hard to produce and contain bias. Computer generated datasets provide an alternative.
Don’t peel the onion all at once. Interview with Alexey Grigorev on Profitable Python
Stuff from GitHub
The Algorithms. Open Source resource for learning Data Structures & Algorithms and their implementation in any Programming Language (Python in the link)
In focus: Finance Data and Fundamental Analysis
Finance Database. It features 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets. It therefore allows you to obtain a broad overview of sectors, industries, types of investments and much more.
Fundamental Analysis. This package collects fundamentals and detailed company stock data from a large group of companies (13.000+) from FinancialModelingPrep and uses Yahoo Finance to obtain stock data for any financial instrument.
findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface.
Learn something!
Raymind Hettinger talks. Oldie but goldie! Youtube playlist to learn about beautiful, idiomatic and considered Python.
Serving a Keras model with AWS Lambda. By Alexey Grigorev.
This tutorial is based on https://github.com/alexeygrigorev/serverless-deep-learning and https://github.com/alexeygrigorev/aws-lambda-model-deployment-workshop
Have you seen it?
Devs. Tv Show.
From the NYT: “Devs” is breathtakingly grand in ideas and ambition.