Real Cases Where Data Science Human Skills Saved Projects AI Tools Missed
You’ve probably felt it. That moment when your AI coding assistant generates a beautiful solution to completely the wrong problem.[…]
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Author: scottcmcmahan
Review of AI-Powered PortraitPro 21
I recently posted a review of PortraitPro 21 Studio on Medium.com. It uses advanced AI to enable editing and manipulation[…]
Read moreCoinmarketcap API with Python
Web APIs or application programming interfaces allow you to send input and get output from a web application. The output[…]
Read moreSetting Environment Variables from Command Line
Passwords and keys should not be in GitHub projects! I know it seems like a hassle, but you should get[…]
Read moreUsing .env File for Passwords and Keys
One common issue with python programming is the need to use passwords, API keys, or other credentials in python code.[…]
Read moreArtificial Neural Networks, an Introduction
Artificial neural networks help solve problems in data science. They imitate neural networks of the brain. Neurons function as organic[…]
Read moreArtificial Neural Network Disadvantages
Artificial Neural Networks (ANNs) can solve an extremely wide variety of problems, including virtually any problem reduceable to functions. Often[…]
Read moreUnderspecification in AI
Underspecification is the failure to specify in enough detail, according to Wiktionary. In machine learning and AI, the underspecification of[…]
Read moreGetting Data Outside D3 or Plotly CSV Functions
D3 and plotly.js are two of the main graphing tools for web applications. They can get data from JSON strings[…]
Read morePandas in Python for Data Manipulation (an Introduction)
One of Python’s most dynamic and powerful libraries for working with data is Pandas. Pandas lets you read data from[…]
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