Increasing data is not an option, have used SMOTE related technqiues for interpolating more data for the imbalanced classes already.
Just trying to understand what do other folks do.
When do you stop training a Neural Network
When it gains sentience
Before you max out your credit card due to compute bill.
This is an old project. Was looking through Tensorboard log for a run I did in 2021, during the pandemic.
Ideally you should look at validation loss as that is the true unseen data and would be closest to new unseen real world data.
In the world of machine learning, there are two distinct mindsets: classical statistical learning and modern neural networks. I’ve noticed that classical approaches feel like solving a complex puzzle—tuning loss functions, adjusting kern...
Is anyone here who has built Indic-focused SLM/LLM models for text generation? If yes, please DM me. Want to understand the following things
I have 3 years of experience in other domain and i am trying to get into Data science. Any suggestions amid these layoffs ?
Hi everyone,
On the hunt for top-notch data science resources! 🚀 Any recommendations for online courses, books, or tutorials? Share your favorites! 📚 Thanks a bunch! 🌟
#DataScience #LearningResources #TechSkills
