Machine-Learning
31 posts
Data Science Things Roundup #7
Data Science Things Roundup #7: Python-focused edition featuring Intel's Python Distribution, Go-Python for extensions, and PyFilesystem for unified access.
Data Science Things Roundup #6
Data Science Things Roundup #6: Focuses on calendar visualizations with D3.js Calendar Heatmap and Bostock's Calendar View, plus insights on coding interviews.
Data Science Things Roundup #5
Explore Deep Q-Learning for Space Invaders, insights from Elasticsearch in production, and improved Python package management strategies.
Common Data Pitfalls for Recurring Machine Learning Systems
Explore common data pitfalls in recurring machine learning systems, including new categories, data format changes, sending issues, deduplication, and updates.
CyberLaunch: An Accelerator for Machine Learning Companies
Explore CyberLaunch, Atlanta's accelerator for machine learning and info security startups, its program details, and its impact on the local startup ecosystem.
Data Science Things Roundup #4
Data Science Things Roundup #4: Featuring Scikit-learn groups for feature sets, Markov Modulated Poisson Processes for event detection, and DBoost for boosting.
Beyond One-Hot: An Exploration of Categorical Variables
A deep dive into different methods for encoding categorical variables in machine learning, exploring their benefits and trade-offs
Sklearn-Extensions: Collecting Useful Scikit-Learn Add-ons
From time to time I come across an interesting blog post, gist, or other snippet of code related to scikit-learn that is pretty cool. Historically, th
Data Science Things Roundup #3
Data Science Things Roundup #3: TensorFlow Self Organizing Maps, DeBaCl for density-based clustering, and options for protecting Python codebases.
Data Science Things Roundup #2
Data Science Things Roundup #2: Featuring Lifelines for survival analysis, Patsy-learn for R-style syntax in scikit-learn, and HDBSCAN clustering library.