Pinnedspeed up your optimization with admm and quasi-newtonhey data folks ! optimization is at the heart of ml. without it, models would remain mediocre, unable to learn effectively…Mar 3A response icon1Mar 3A response icon1
Pinnedhow rag is changing the game in nlphey hey data folks ! :) imagine having an ai that doesn’t just spit out convincing answers but backs them up….. Mar 3A response icon1Mar 3A response icon1
Pinnedtrend or noise? mastering time series transformationshey data folks ! you already know that ADF (Augmented Dickey-Fuller) and KPSS (Kwiatkowski-Phillips-Schmidt-Shin) are statistical…Feb 28A response icon1Feb 28A response icon1
Pinnedis your data lying to you? how to detect hidden non-linearityhey data folks! are you sure your data is linear? think again…Feb 19A response icon2Feb 19A response icon2
dimensionality reduction in machine learning : part 1hey hey data folks it’s been a while… today let’s talk about something that’s often a bit under the radar but is so powerful in…Mar 24Mar 24
what is white noise in stationary times series ? part 2 : advanced techniqueshey data folks ! remember our last article about white noise in stationary time series ? now, you’re ready to learn new advanced techniquesFeb 24A response icon3Feb 24A response icon3
train-test split or cross-validation?hey data folks! :) still relying on a basic train-test split to evaluate your ml models ? maybe it’s time to level up…Feb 24Feb 24
backpropagation : the secret sauce of deep learninghey data folks ! :) if you’ve ever wondered how neural networks actually learn, the answer is backpropagation…Feb 23Feb 23
why one model isn’t enough ?when you’re working in ml or dl, you quickly develop an obsession: boosting performance. you refine your features…Feb 21Feb 21
merge your datasets like a bossheeey data folks ! if you’ve ever worked with data tables, you’ve probably encountered…Feb 18Feb 18
