Published inTowards Data ScienceTrolls and bots are disrupting social media — here’s how AI can stop them (Part 1)Can we use machine learning to identify suspicious posts and comments? The answer is yes, and we’ll show you how.Jul 30, 20191Jul 30, 20191
Published inTowards Data ScienceIdentifying trolls and bots on Reddit with machine learning (Part 2)We’ll show you how we used machine learning to detect bots and trolls in political discussions on RedditJul 30, 2019Jul 30, 2019
Published inHackerNoon.comOpinionated or Not: Choosing the Right Framework for the JobWe’ll look at opinionated versus non-opinionated frameworks and when to choose each path.Jun 25, 2019Jun 25, 2019
Published inBetter ProgrammingA Beginner’s Guide to Using CDNsImprove your website’s speed with this simple toolMay 15, 2019May 15, 2019
Published inHackerNoon.comStaging Environments Are Overlooked — Here’s Why They MatterMany development teams skip having a staging environment for their applications, but it doesn’t have to be complicatedMay 14, 2019May 14, 2019
Exploring Code for America’s Open311 Data Set with the new DataclipsLet’s explore some really interesting data from Code for America’s Open311 data setApr 16, 2019Apr 16, 2019
How We Accelerated Growth with Product OnboardingLearn how our improvements to product onboarding led to a higher activation rate and 500% revenue growth.Apr 29, 2015Apr 29, 2015
Inside Product Management: David Breger of LinkedInI reached out to David Breger at LinkedIn to learn more about Product Management at leading companies.Apr 11, 2015Apr 11, 2015
How To Predict Customer Conversions Using RIn this guide I will show you how to build a decision tree, and then use it to predict which customers will convert.Aug 12, 2014Aug 12, 2014
