Questions tagged [machine-learning]
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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Is this recursive forecasting right for timeseries analysis?
Training a model just to make a quick prototype
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How to predict Future CPU Usage in Time Series reusing your already trained model?
I'm currently working on a time series problem where I need to predict future CPU usage. I have historical data consisting of CPU usage along with features like hour, day of week, and month. However, ...
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Using a regression model, is it possible to precisely predict "outlier" results based on a highly imbalanced dataset?
Title.
I have a dataset that's highly imbalanced, say the output variable I want to predict is restricted within the range from 0 to 1, but almost all of the datapoints sit around 0.7-0.9, while my ...
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Incorporating position-bias information into the softmax cross-entropy ranking loss
Consider a learning to rank setting, where I'm learning from N items displayed to the user for every user query. Suppose I can quantify the probability of examination $P[E_i]$ of each position $i$ ...
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How to implement hard negative mining for PyTorch RetinaNet_v2 object detection model?
I am currently using the PyTorch object detection model retinanet_resnet50_fpn_v2. I want to implement hard negative mining, such that I take the top X images with ...
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How do I compute and plot Bias and Variance of a classifier in Python?
I'm new to Machine Learning and I understand bias and variance in theory but I can't seem to find a single source that explains how bias or variance can be computed. I'd like to do it in Python and ...
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What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
More specifically for this project I'm looking to use HuggingFace's UNet3DConditionModel on my home PC on a RTX ...
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Linear warmup always result in a significant drop in accuracy
I'm at a machine learning task where I used linear warmup for a machine learning task. However, I observed that the test accuracy always drops significantly after the warmup, sometimes even during ...
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Downsampling an image in the right way
I was not shure where to ask this question, but SE Data Science seems to be the best place for it.
So I tried to build a CNN based super resolution model. Unfortunately I have only high-res images but ...
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Resources for Integrating Good Machine Learning Techniques (CoursEra preferred)
I've plateaued as a Python programmer. I understand the ins and outs of developing:
Cross Validated ML Scripts for a variety of models (Random Forest, SVM, SVR, ...)
Multivariate tools (Lasso, ...
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How to create Radial Basis Function Network for Regression problem in python using Tensorflow (keras)
I am working on a non-linear regression problem using a dataset with over 100 sensor data columns and a single output column containing real numbers ranging from 0 to 10,000. I have implemented a ...
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Class imbalance for binary classification tasks
I am looking to train a binary classifier. Most of my experience so far has been with generative models, not classifiers, so I am wondering with respect to training data, what is a good ratio of 0 and ...
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Latest Tree-based models
What are the latest Tree-based models that are used in machine learning? Tell the new models except the old ones such as the Decision tree, Random Forest, Gradient Boosting, LightGBM, XGBoost, and ...
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Reinforcement learning with Q learning doesn't seem to be learning
I'm encountering an issue with my PyTorch-based Q-learning model. Despite implementing the reinforcement learning algorithm, the model seems to be stuck at the same balance level without showing any ...
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Multi-class Classification with Categorical and Time-series Features
I have a problem where I want to classify certain entries into clusters, based on their categorical features (such as Country, Category, as dataframe columns), and also their selling pattern (time ...
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