Infinite Curiosity is a weekly newsletter on the intersection of Artificial Intelligence and Startups. It includes in-depth analysis of how Machine Learning practitioners build products. Feel free to send me your questions and I’m happy to offer my thoughts. Subscribe to the newsletter to receive it in your inbox every week.

​Here are a few topics I've written about:

🚀 Building ML Startups
  • How to get the first 10 customers for your ML startup
  • How to order the slides in a customer intro deck
  • How to raise your first round of funding as a first time founder
  • How VCs do diligence on ML startups
  • How to order the slides in a fundraising deck
  • 9 Products To Build For ML Practitioners Who Need To Generate Synthetic Data
  • 14 Types Of Products You Can Build For Machine Learning Practitioners
  • Landscape Of Data Orchestration Tools
  • Why is it better to be a seller of picks and shovels vs being a gold miner
  • How to do customer discovery for a machine learning product
  • Use cases and tools for Natural Language Processing

⛰ ML Concepts Simplified
  • What Is Empirical Risk Minimization
  • What Are Gaussian Mixture Models
  • How To Measure The Memory Of Time Series Data
  • What Is Monte Carlo Simulation
  • How To Measure The Stability Of A Machine Learning Algorithm
  • What Is A Bayesian Classifier
  • What Is Cost Sensitive Learning
  • How To Measure The Quality Of Images Created By AI Models
  • What Is An Activation Function
  • What Is Data Orchestration
  • What Is Federated Learning
  • What Is Pathways Language Model
  • What Are Transformers In Machine Learning
  • What Is Gradient Boosting In Machine Learning
  • What Is Ensemble Learning
  • Understanding Bias And Variance In Machine Learning
  • What Is A Tensor In Machine Learning
  • What Is Geometric Deep Learning

🧑🏻‍💻 Career Growth
  • 6 Things An ML Practitioner Should Know About Revenue
  • What career paths are available in AI
  • What types of roles are available in AI
  • How to get into AI as a software engineer
  • What does an MLOps Engineer do
  • How to succeed as a Machine Learning Engineer