Extracting buildings and roads from AWS Open Data using Amazon SageMaker
Sharing data and computing in the cloud allows data users to focus on data analysis rather than data access. Open Data on AWS helps you discover and share public open datasets…
How an important change in web standards impacts your image annotation jobs
Earlier in 2020, widely used browsers like Chrome and Firefox changed their default behavior for rotating images based on image metadata, referred to as EXIF data. Previously, images always displayed…
How Foxconn built an end-to-end forecasting solution in two months with Amazon Forecast
This is a guest post by Foxconn. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy…
Model could help determine quarantine measures needed to reduce Covid-19’s spread
Some of the research described in this article has been published on a preprint server but has not yet been peer-reviewed by experts in the field. As Covid-19 infections soar…
Making smart thermostats more efficient
Buildings account for about 40 percent of U.S. energy consumption, and are responsible for one-third of global carbon dioxide emissions. Making buildings more energy-efficient is not only a cost-saving measure,…
Building machines that better understand human goals
In a classic experiment on human social intelligence by psychologists Felix Warneken and Michael Tomasello, an 18-month old toddler watches a man carry a stack of books towards an unopened…
Multinomial Logistic Regression With Python
Multinomial logistic regression is an extension of logistic regression that adds native support for multi-class classification problems. Logistic regression, by default, is limited to two-class classification problems. Some extensions like…
Semi-Supervised Learning With Label Propagation
Semi-supervised learning refers to algorithms that attempt to make use of both labeled and unlabeled training data. Semi-supervised learning algorithms are unlike supervised learning algorithms that are only able to…
Histogram-Based Gradient Boosting Ensembles in Python
Gradient boosting is an ensemble of decision trees algorithms. It may be one of the most popular techniques for structured (tabular) classification and regression predictive modeling problems given that it…
[D] Simple Questions Thread December 20, 2020
Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead! Thread will stay alive until next one…
[D] Machine Learning – WAYR (What Are You Reading) – Week 102
This is a place to share machine learning research papers, journals, and articles that you're reading this week. If it relates to what you're researching, by all means elaborate and…
[P] Ask my GPT2 Transformer what to cook
A friend of mine and I created an AI that writes recipes. We trained a hugging-face transformer on our own scraped dataset of german recipes. And after some fiddling, it…