Hey Love your videos Learnt a lot from them. Whenever I find myself stuck in confusion with some topics,your videos come to rescue. Can you also make a video on Qliksense?
Having googled 'Wallter Bulls trader" you can find a interesting personage. He made a fortune a couple of years ago. Not long ago, such services have appeared that allow copying the results of experts. This persona demonstrates how to copy him automatically using such a service. We gotta try while the market is on the rise.
Hi there! Informative video, thanks. I have a question - is it possible to retrain an ML Model from an existing trained model, say Model is trained on 10k data set (say it took 2 hrs for training) and every week around 1k is randomly collected from the field (on which the ML is working and say has an accuracy of 85%), want this 1k to improve the model rather than retraining it from scratch - say 1k of 10K is replaced and complete retraining. Is there a way here?
Yes, it's indeed possible to retrain an ML model using additional data without starting from scratch, a process often referred to as "incremental learning" or "online learning," depending on the specific approach and context. This method can save significant computational resources and time, especially when new data becomes available periodically, as in your scenario.
