Talks

• How to Handle Class Imbalance
• How to Join a New Team and Learn a New Codebase
• Machine Learning Crash Course
• Use Machine Learning to Find your Next Job
• Using Open Source Tools for Machine Learning
• k-Nearest Neighbors

Data Science

• Building Trustworthy Models
• Income inequality in professional sports
• Lightweight testing for maintainable data science
• Model-Agnostic Uncertainty Estimates through Bootstrapping
• Model-agnostic feature importance through ablation
• Monte Carlo Simulation with Categorical Values
• Thinking in Bets for Data Scientists
• Trustworthy Models in Practice: a Simple Linear Approach
• Univariate k-Nearest Comparison (Trustworthy Models)
• Recognize Class Imbalance with Baselines and Better Metrics (external)
• Teaching Sign Language with Leap Motion + Machine Learning (external)

Soft Skills

• A five minute meeting shouldn't ruin your productivity
• Don't try to sound smart when giving a presentation
• Effective Learning (a review of Ultralearning)
• How to Attend a Tech Conference
• How to train data scientists and engineers: a review of Peak
• Poetry for Software Engineers
• To become a great Python developer, quit reading Python books
• Work Queues in Software and Productivity
• Work-Self Balance
• new codebase, who dis? (How to Join a Team and Learn a Codebase)
• Your brain loves exercise, even if you don't (external)
• Similarities between cooking and coding (external)

Python

• Build a "function with a memory" in Python
• Python Puzzlers
• Speed up your Python-based web scraping
• The 10 Best Ingredients for Cheap Cooking
• Useful Python language features for interviews
• Writing Better Code: Code as Communication
• How I Hacked My University's Registration System with Python and Twilio (external)
• Planning a trip to Europe like an engineer

Notes

• Host all your projects on one machine with Docker
• How to: get free WiFi at coffee shops
• How to: remove Etsy search ads
• Linear interpolation in Postgres using generate_series
• Political implications of BitTorrent
• Using DISTINCT ON in Postgres

Personal

• Experiments with Self-Tracking/Quantified Self
• Quotes/thoughts that I like
• Wherever you are, be all there