InTDS ArchivebyTerence Shin, MSc, MBA·Jun 29, 2023Four Common Mistakes When A/B Testing and How to Solve ThemEnhance Your A/B Testing Skills: Addressing Four Key Errors for Better Results
Terence Shin, MSc, MBA·Jan 6, 2023All Machine Learning Algorithms You Should Know for 2023Intuitive explanations of the most popular machine learning modelsA response icon13A response icon13
Terence Shin, MSc, MBA·Dec 12, 2022Top Three Clustering Algorithms You Should Know Instead of K-means ClusteringAn comprehensive guide to industry leading clustering techniquesA response icon4A response icon4
Terence Shin, MSc, MBA·Nov 18, 2022How I’d Learn Data Science If I Could Start Over (4 Years In)A newer and more effective approachA response icon11A response icon11
Terence Shin, MSc, MBA·Oct 11, 2022The 10 Best Data Visualizations of 2022Awesome visualizations on the Ukraine War, Inflation, and more!A response icon13A response icon13
Terence Shin, MSc, MBA·Oct 5, 202220+ Resources I Use to Stay Up-to-Date with Data ScienceThings move VERY quickly in the world of data science. In my career alone (the past ~4 years), I’ve had to learn several new…A response icon3A response icon3
Terence Shin, MSc, MBA·Aug 29, 2022The 5 Biggest Data Science and AI Conferences You Should AttendLearn from some of the world’s biggest data figuresA response icon1A response icon1
InTDS ArchivebyTerence Shin, MSc, MBA·Aug 15, 20225 Biases & Fallacies Data Scientists Should Beware of (and How to Avoid Them)Common mistakes to look out for in your career
InTDS ArchivebyTerence Shin, MSc, MBA·Jul 5, 2022Five Advanced Data Visualizations All Data Scientists Should KnowExpand your arsenal of data skills and tools with these visualizationsA response icon3A response icon3
Terence Shin, MSc, MBA·Jul 5, 2022Top Data Science LinkedIn Influencers You Should Follow in 2022Learn from some of the biggest data science leadersA response icon2A response icon2
