A speaker's review of PyGotham 2019, covering talk quality, event organization, and highlights like a talk on web archiving tools.
Explores the visual similarities between images generated by neural networks and human experiences in dreams or under psychedelics.
A blog post exploring the parallels and differences between human cognition and machine learning, including biases and inspirations.
A professor reflects on teaching new Machine Learning and Deep Learning courses at UW-Madison and showcases impressive student projects.
Analysis of PHP's limitations for machine learning, focusing on visualization, Jupyter support, and GPU capabilities compared to Python.
A tutorial on text data classification using the BBC news dataset and PHP-ML for machine learning, covering data loading and preprocessing.
Learn to implement the k-Nearest Neighbors algorithm in PHP to predict air quality using public data and the php-ml library.
A researcher's 2018 highlights: using machine learning for cognitive brain mapping, analyzing non-curated data, and contributing to scikit-learn development.
Overview of new features, changes, and fixes in PHP-ML 0.7.0, a machine learning library for PHP developers.
Inria establishes a foundation to secure funding and support for the scikit-learn open-source machine learning library, enabling sustainable growth and development.
Explains four levels of customer targeting, from no segmentation to advanced recommendation systems, and their business applications.
A report on recent scikit-learn sprints in Austin and Paris, highlighting new features, bug fixes, and progress toward the 0.20 release.
A developer recounts the process of reviving a deprecated open-source Python library for parsing recipe ingredients, detailing the challenges of legacy code.
Exploring machine learning-driven bundling with Guess.js to optimize JavaScript chunk loading and improve SPA performance.
A web developer shares their journey learning machine learning, applying JavaScript skills to a new domain and rediscovering math.
A personal reflection on the author's achievements in 2017, including travel, starting a club, and fitness goals, with a positive outlook for 2018.
A tutorial on implementing a neural network in JavaScript using Google's deeplearn.js library to improve web accessibility by choosing font colors.
A guide to implementing logistic regression with gradient descent in JavaScript to solve classification problems.
Explains the Normal Equation as an alternative to Gradient Descent for linear regression in JavaScript, including implementation.
A guide to implementing multivariate linear regression with gradient descent in JavaScript, including feature scaling.
