Choosing the Right Algorithm: It’s Not Always About Deep Learning

There’s a huge trend right now to use deep learning for everything. But honestly? Sometimes a simple Random Forest or even Logistic Regression will do the job better, faster, and with less data. I once spent a week trying to tune a complex LSTM for a time series problem, only to realize that a simple XGBoost model with the right features outperformed it. Don't fall for the hype. Start simple. Use a baseline model. Only increase complexity if the baseline can't meet your needs. Your future self (and your cloud computing bill) will thank you.