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Prashant
@capeandcode
Senior Engineer in Machine Learning • Sharing everything I learn.
🧵 Thread
Neural Networks as Linear Combinations. • NNs are multiple linear methods working in combination, but the power of non-linearity is what makes the difference. • Let's see how many lines it'd take you to separate these two groups? ↓
People of MLOps
Who are the people in MLOps? Data Science and MLOps are constantly evolving and have multiple roles and people. Not only Data Scientists but many other people are also there in the ML Model lifecycle. But who are they and what do they do? ↓
1. Subject Matter Experts Data scientists may not have a deep understanding of the businesses and domains they work for. SMEs help them frame the problem better by working alongside data scientists. They have defined goals, business questions and KPIs.
Python Tip 🐍 If you want to check for membership in a collection, prefer Sets or Dicts over Lists or Tuples.
MLOps and Risk Mitigation
MLOps for Risk Mitigation • In machine learning systems there are risks associated with an organization. • Proper risk assessment and mitigation are important to be done.
🧵 Thread
Need for Machine Learning Pipelines • Machine learning pipelines are crucial for sustainable machine learning systems. • But what good do they bring? What are the benefits that we get from them? Let's discuss ↓ 0/7
The Complete SQL Guide
"Learn SQL" Great advice no doubt. • But what topics to cover? • Which SQL database to use? • What resources to learn from? Here's is a track you can follow ↓ 1/22
logical-puzzle
Interview Question: Oftentimes the interviewer asks logical puzzles to test the aptitude skills. Especially, during the managerial rounds. Here's one of the questions I was asked ↓
Interview: Covariance and Correlation
Interview Question: • What is Covariance? • What is Correlation? • What are the differences between them? Explain briefly ↓ 0/9
K-Means Questions
Interview Questions • How does k-means work? • What are its stopping criteria? • What are its pros and cons? • How do you choose its number of clusters? Explain briefly ↓ 0/4
AUC-ROC Curve
Interview Question: • What is ROC curve in classification? • What is AUC? Brief answer: ↓