machine-learning

machine-learning

How to encode categorical data that have variable length so could be fetched to nn.Embedding in PyTorch

Machine Learning - Overfitting The Dataset On Purpose

Precision Versus Recall for Multiclass classification problem

Strategies to assign specific weights to training instances

convolution and recurrent neural network

h2o Flow UI: Build Model but no ROC CURVE or AUC for multiclass?

How to convert Pytorch model parameters to long datatype?

Defining a simple neural netwok in mxnet error

Label alignment in RNN Transducer training

Logistic regression and machine learning how are they related

What is recognised as the best image classification neural network for 2018? [closed]

Is there a way to not re-train my NN every time?

Best way to encode categorical data(URLs) in large dataset in Machine Learning?

TinyYolo Deeplearning4j

Should I subtract image mean when doing a task of semantic segmentation? why or why not?

When doing classification, why do I get different precision for the same testing data?

why we use kmeans.fit function in kmeans clustering method?

Not able to import en_core_web_sm or Spacy

Is there a way to use decision trees with categorical variables without one-hot encoding?

Identifying accuracy and dropped features with AutoML (ml.net)

Is some overfitting in a convolutional network alright?

Dependent variables role in Kmeans Clustering

How to treat outliers if you have data set with ~2,000 features and can't look at each feature individually

After training word embedding with gensim's fasttext's wrapper, how to embed new sentences?

Regarding the consistency of convolutional neural networks

Advantage and disadvantages of using Actor Critic over DDQN

Balance problem for classification on Cleveland Dataset

Could not serialize object: Py4JError: An error occurred while calling o281.__getstate__

Can I use Machine Learning to identify the best product configuration

Can we replace anchor boxes in object detection with multiple bounding box predictors?

Purpose of sampling in VAE

What is the meaning of leaf node of J48 tree classifier

What causes fluctuations in cross-entropy loss?

How would I calculate the distance of the margins from the hyperplane/decision boundary in non linear (rbf kernel) svm?

How to get class names in classification?

How come a small dataset has a high variance? [closed]

Streaming audio to a neural network

What to do with almost constant feature?

Seq2Seq for string reversal

Facing issue while converting YOLOV3 Pytorch model to coreml to be in IOS App using ONNX

Need help figuring out what I did wrong in my Gradient Descent code for Linear Regression with one variable

Loss of Multi-Output Model in Pytorch

How to merge two saved keras model?

Train spaCy's existing POS tagger with my own training examples

Does batch normalisation work with a small batch size?

The dilemma of overfitting in NN training

Why Normality is considered as an important assumption for dependent and independent variables?

Keras Embedding Layer: keep zero-padded values as zeros

Machine learning model with relative feature importance

What are the shapes of beta and gamma parameters in layer normalization layer?

Can the test set of non-image data be augmented?

Knn classifier for Imbalanced dataset

Anomaly detection framework for investment portfolios

Where should I pass pre trained word embedding in a encoder-decoder architecture?

what does lightgbm python Dataset reference parameter mean?

When making prediction with a trained neural net, does input have to run through all layers?

Supervised learning by creating own labels

On which framework h2o automl is build?

Is it okay to use a deep learning frameworks rather than building the neural network from scratch?

no error while fitting the model over train data but NotFittedError while predicting over test set

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