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 reinforcement learning suitable for the Dial-a-Ride problem?
Is reinforcement learning suitable for this problem or will it perform poorly against classical algorithms?
"The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for ...
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Calculating saliency maps for text classification
I'm following the text classification with movie reviews TensorFlow tutorial, and wanted to extend the project by looking, for a certain input, which words influenced the classification the most.
I ...
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How do I recommend items to out of training users based on its recent views?
I used Spark's ALS implementation of matrix factorization (Collaborative Filtering for Implicit Feedback) to train user and item embeddings.
Since we have a lot of users in system, I had to sample ...
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How to use text as an input for a neural network - regression problem? How many likes/claps an article will get
I am trying to predict the number of likes an article or a post will get using a NN.
I have a dataframe with ~70,000 rows and 2 columns: "text" (predictor - strings of text) and "likes&...
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How many features is too many when using feature selection methods?
Now obviously there is no such thing as an ideal number as every problem is different, but I've been Googling, ChatGPTing, & Youtubing this question for a few days now and I am constantly getting ...
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Tuning NonHyperparameters in Scikitlearn
In Scikit Learn RandomSearch or GridSearch , how to include non hyper parameters in the tuning process?! Non hyper parameters are parameters not related to the machine learning algorithms. For example ...
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Does it make sense to have object detection model followed by a classification model
So i was working with the SKU110k dataset and i was required to identify the different items in the shelf as well but the SKU110k dataset only annotated shelf items but did not identify them. So i ...
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Batch Normalization vs Layer Normalization
In Batch Normalization, mean and standard deviation are calculated feature wise and normalization step is done instance wise and in Layer Normalization mean and standard deviation are calculated ...
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Machine learning and time-based data
I want to predict conversion rates for an eCommerce store. I have data from Google Analytics with features like averageSessionDuration, bounceRate, numberOfVisitorsBySource etc. and the corresponding ...
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How do I replace NaN values using group by pivot_table in pandas DataFrame?
I am working on a machine learning practice problem, from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/#ProblemStatement
I want to replace the null values in the ...
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ROC_AUC score is higher before tuning n _neighbors for KNN
This is for multiclass classification. Before tuning the n_neighbors for KNN, these were the results:
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N-gram based Language Models learned using an Encoder-Decoder Model
I have been going through a N-gram based Language Model learned using an Encoder-Decoder Model for Email smart compose.
The program outputs only one prediction for the given input.
I want to know how ...
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Feature extraction - wavelet transformation + autoregression
I am working on a feature extraction problem (ECG signal). Within my literature review I stumbled across the following text:
"The wavelet transform is used to extract the coefficients of the ...
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Cluster products that are frequently bought together
I have a dataset of articles metadata for each article, so something like this:
product_id
color
type
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red
t-shirt
and another containing the transactions of customers, which looks like this:
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What is multi-hot encoding?
I was read and paper for machine learning, and i found this term "multi-hot encoding" without explanation.
Can you help me please?
the paper: https://arxiv.org/abs/2001.06917
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