Mike Casale – Medium

Published in CodeX

·Pinned

Building Bancor Simulations in Python — A Step by Step Explainer

Learn the fundamentals of Bancor protocol simulations — Table of Contents Introduction DAO Proposal Background — TLDR Project Setup Datasets Simulator Architecture The Baseline Simulation The Proposal Simulation Summarizing the results Introduction

Defi

16 min read

Building Bancor Simulations in Python — A Step by Step Explainer

Published in Towards Data Science

·Pinned

Applying Machine Learning to Assess Florida’s Climate-Driven Real Estate Risk (part1)

Florida’s short-lived climate change czar, Chief Resilience Officer Julia Nesheiwat, set a clear priority for the state: Protect the real estate market.

Climate Change

16 min read

Applying Machine Learning to Assess Florida’s Climate-Driven Real Estate Risk (part1)

Published in Towards Data Science

·Mar 29, 2021

Featurizing text with Google’s T5 Text to Text Transformer

How to extend Featuretools primitive-functions to automatically create features from tabular text columns. — Originally published at https://blog.ccganalytics.com on March 29, 2021. In this article we will demonstrate how to featurize text in tabular data using Google’s state-of-the-art T5 Text to Text Transformer. You can follow along using the Jupyter Notebook from this repository. When trying to leverage real-world data in a machine learning…

NLP

9 min read

Featurizing text with Google’s T5 Text to Text Transformer

Mar 30, 2020

THE iBUYER CODE — Big Data keys to unlock the secrets of selling your home

Jan 29, 2020 Mike Casale | ibuyer.com — The iBuyer revolution is underway and it’s already reshaping how investors buy homes, how homeowners sell homes, how quickly real estate transactions happen, and the prices transactions happen at— which raises many questions: Is this a good thing for homeowners? When is the best time to sell to an iBuyer…

Ibuyer

7 min read

Mar 26, 2020

The Algorithmic Mirror of Narcissus (part1)

A Path Toward Automated Social Network Lie Detection Using Transfer Learning with Google’s T5 Unified Text-to-Text Transformer Model — Narcissus drowns while he contemplates the algorithmic reflection of his data. This is because in mathematical terms, a social network is less a connection with others than it is an algorithmic reflection of ourselves. …

Machine Learning

8 min read

The Algorithmic Mirror of Narcissus (part1)

Mar 23, 2020

Coronavirus and iBuyers

How AI Could Stabilize Real-Estate Prices During Coronavirus Panic — By Mike Casale | Mar. 22, 2020 | Data Science @ ibuyer.com Most of the popular home valuations like the Zestimate use state-of-the-art machine learning technologies which, in recent years, have allowed ever more accurate predictions to become pervasive go-to reference points for both home buyers and sellers in residential…

Real Estate

5 min read

Mar 2, 2020

A new environmentalism with the demographics and politics of gun-owning households.

Climate scientists have largely failed to gain the support of those they need the most — white men who own guns. The American citizen most likely to own a gun is a white male. Republicans are twice as likely as Democrats to be members of a gun-owning household. Political independents…

Climate Change

4 min read

A new environmentalism with the demographics and politics of gun-owning households.

Jan 2, 2020

Climatic Backfire: A Central Bank Distributed Ledger to fund Zero-Carbon Investment with Artificial Intelligence and Robotics Taxation

Abstract Libertarians claim that dollars are backed by nothing — yet, in some sense, it is indisputable that dollars are backed by future human labor, and more specifically, the taxation thereof. Given this — can artificial labor displace human labor respecting taxation? In response to this, a case is made…

Blockchain

41 min read