Hey everyone, I’ve just started reading “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron, and I’ve decided to do something a bit different this time — instead of just reading, I’m going to produce what I consume.
Why am i doing this:
To learn actively: Writing forces me to explain concepts clearly, which means I actually understand them .
To stay consistent: Posting regularly keeps me accountable.
To give back: When I was starting out, I learned a lot from other people’s blogs. Maybe these posts will help someone else who’s also learning ML.
What to expect
Key concepts from each chapter, Code snippets and experiments, My personal takeaways and “aha!” moments Sometimes even the mistakes I make along the way (because that’s real learning)
…
Hey everyone, I’ve just started reading “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron, and I’ve decided to do something a bit different this time — instead of just reading, I’m going to produce what I consume.
Why am i doing this:
To learn actively: Writing forces me to explain concepts clearly, which means I actually understand them .
To stay consistent: Posting regularly keeps me accountable.
To give back: When I was starting out, I learned a lot from other people’s blogs. Maybe these posts will help someone else who’s also learning ML.
What to expect
Key concepts from each chapter, Code snippets and experiments, My personal takeaways and “aha!” moments Sometimes even the mistakes I make along the way (because that’s real learning)
Who’s this for?
Beginners following along with Hands-On ML, Anyone curious about how machine learning concepts click when learned step by step Future me, who will definitely forget half of this without writing it down