machine learning Archives

How to write up machine learning experiments? Here’s a process to follow

Published by Joni on October 28, 2023

It’s sometimes difficult, especially for newcomers, to understand all the steps of a machine learning (ML) analysis. Here’s a practical list of the items I’m myself considering when leading an ML research project. Our use of ML is applied; we do research related to social computing (also known as computational social sciences), marketing, analytics, and human-computer interaction (HCI). Overall, we’ve…

Tips on Data Imputation From Machine Learning Experts

Published by Joni on August 11, 2018

Missing values are a critical issue in statistics and machine learning (which is “advanced statistics”). Data imputation deals with ways to fill those missing values. Andriy Burkov made this statement a few days ago [1]: “The best way to fill a missing value of an attribute is to build a classifier (if the attribute is binary) or a regressor (if…

Machine learning and Facebook Ads

Published by Joni on May 17, 2017

Introduction One important thing in machine learning is feature engineering (selection & extraction). This means choosing the right variables that improve the model’s performance, while discarding those reducing it. The more impact your variables have on the performance metric, the better. Because the real world is complex, you may start with dozens or even hundreds of variables (=features), but in…

Experimenting with IBM Watson Personality Insights: How accurate is it?

Published by Joni on March 30, 2017

Introduction I ran an analysis with IBM Watson Personality Insights. It retrieved my tweets and analyzed their text content to describe me as a person. Doing so is easy – try it here: https://personality-insights-livedemo.mybluemix.net/ I’ll briefly discuss the accuracy of the findings in this post. TL;DR: The accuracy of IBM Watson is a split decision – some classifications seem to…

The black sheep problem in machine learning

Published by Joni on March 30, 2017

Just a picture of a black sheep. Introduction. Hal Daumé III wrote an interesting blog post about language bias and the black sheep problem. In the post, he defines the problem as follows: The “black sheep problem” is that if you were to try to guess what color most sheep were by looking and language data, it would be very…

How to teach machines common sense? Solutions for ambiguity problem in artificial intelligence

Published by Joni on March 30, 2017

Introduction The ambiguity problem illustrated: User: “Siri, call me an ambulance!” Siri: “Okay, I will call you ‘an ambulance’.” You’ll never reach the hospital, and end up bleeding to death. Solutions Two potential solutions: A. machine builds general knowledge (“common sense”) B. machine identifies ambiguity & asks for clarification from humans The whole “common sense” problem can be solved by…

“Please explain Support Vector Machines (SVM) like I am a 5 year old.”

Published by Joni on March 30, 2017

“Please explain Support Vector Machines (SVM) like I am a 5 year old.” #analytics #machinelearning #modeling Courtesy of @copperking at Reddit: https://www.reddit.com/r/MachineLearning/comments/15zrpp/please_explain_support_vector_machines_svm_like_i Direct quotation from Reddit: “We have 2 colors of balls on the table that we want to separate. We get a stick and put it on the table, this works pretty well right? Some villain comes and places…

A.I. – the next industrial revolution?

Published by Joni on March 29, 2017

Introduction Many workers are concerned about “robotization” and “automatization” taking away their jobs. Also the media has been writing actively about this topic lately, as can be seen in publications such as New York Times and Forbes. New York Times: After Jobs Dry Up, What Then? Forbes: Now, Even Artificial Intelligence Gurus Fret That AI Will Steal Our Jobs Although…

Tag: machine learning