# Honored to Pass AI-102!
5 min read
So, I did a thing. I earned my first Microsoft certificate: Azure AI Engineer Associate! 🎉
/ tags/ notes
# Overfitting! Unlocking the Last Key Concept in Supervised Machine Learning – Day 11, 12
2 min read
Days 11-12 of Andrew Ng's Supervised Machine Learning course: overfitting vs underfitting, and fixing them with more data, simpler models or regularization.
# Grinding Through Logistic regression: Exploring Supervised Machine Learning – Day 10
2 min read
Today is mainly learning about “Decision boundary”, “Cost function of logistic regresion”, “Logistic loss” and “Gradient Descent Implementation for logistic regression”.
# Master Gradient Descent and Binary Classification: Supervised Machine Learning – Day 9
2 min read
Oh boy… I was sick for almost two weeks 🤒 After a brief break, I’m back to dive deep into machine learning, and today, we’ll revisit one of the core concepts in training models—gradient descent.…
# Master Learning Rate and Feature Engineering: Supervised Machine Learning – Day 8
4 min read
Today I started with Choosing the learning rate, reviewed the Jupyter lab and learnt what is feature engineering.
# Master Feature Scaling & Gradient Descent: Supervised Machine Learning – Day 7
4 min read
Day 7 of Andrew Ng's Supervised Machine Learning course: why feature scaling matters and how to check that gradient descent is converging.
# Finished Machine Learning for Absolute Beginners - Level 1
4 min read
As you know I was in progress learning Andrew Ng’s Supervised Machine Learning: Regression and Classification, it’s so dry!
# Supervised Machine Learning – Day 6
2 min read
Today I spent 10 30 60 mins reviewing previous notes, just realized that’s a lot.