machine-learning

machine-learning

transfer learning practice for distinguishing cat and dog

Time Series Forecasting: weekly vs daily predictions

Sagemaker XG-Boost (objective=reg:logistic) not working on highly imbalanced data set

What is the difference between a GBM continuous prediction in [0, 1] and a Logistic Regression continous prediction in [0, 1]

What is wrong with my approach of using MLP to make a chess engine?

Looking for a method to map Proper nouns into vectors

Machine learning prediction considering several variables, is that possible?

Keyword Text Recognition and Extraction

deep learning: what if i have a picture that is labeled with a class but it is not of that class

How should I split my data for cross validation and grid search?

2.3 ratio between Pytorch BCEloss and my own "log" calculations

Is it necessary for a kernel function to have a corresponding feature map?

knn.fit() error: valueError: Found input variables with inconsistent numbers of samples

NLP Transformers: Best way to get a fixed sentence embedding-vector shape?

Test net output #0: accuracy = 1 - Always- Caffe

Extracting properties of handwritten digits to fasten nearest neighbour algorithm

how to setup a alert on machine learning toolkit for historical data

How to save self-trained word2vec to a txt file with format like 'word2vec-google-news' or 'glove.6b.50d'

How to check if a text has request for information

How to Customize Metric for GridSearchCV in Scikit Learn to tune for specific class?

How to estimate the mutual information btw a continuous multidimensional variable and a discrete variable

How to extract features from a pytorch pretrained fine-tuned model

How much difference between training and test error is considered suitable? [closed]

Issue with multilabel classification

Estimating distance of user from a camera

How to implement pytesseract code with opencl to make it run on GPU?

Classification using H2O.ai H2O-3 Automl Algorithm on AWS SageMaker: Categorical Columns

Extract vectors from LDA2vec model

Distant Supervision: a rule-based labelling approach?

what does model.output.op does in keras?

Testing Prediction Model with User Input

JTessBoxEditor is not identifying the characters and making boxes

Bayesian Optimization does not improve prediction accuracy

If we can clip gradient in WGAN, why bother with WGAN-GP?

How can I correct this error from testing of my mask rcnn model

Importing a single large Google Drive archive into a shared Google Colab project

One Class SVM and Isolation Forest for novelty detection

How to load the saved tokenizer from pretrained model

Is it possible to have a class feature with several values?

Naive Bayes - no samples for class label 1

Improving Accuracy of prediction Algorithm

Why yolo can't detect all objects in image?

How to concatenate embeddings with variable length inputs in Keras?

DBSCAN Clustering algoruthm

How to load validation data set

Machine Learning with APIs and storing results

Can I use machine learning on below dataset sample

Best practices for tesseract ocr using python

Is there a native library written in Julia for Machine Learning?

Which ML method for multiclass (non-binary) text classification should I choose (from SparkML)?

What are geometry-adaptive kernels?

Understanding convolutional filters

Choice of metric for multilabel classification problem

Is it necessary to make time series data stationary before applying tree based ML methods i.e. Random Forest or Xgboost etc?

Classification report in scikit learn

how to load a vector of certrain word form word2vec saved model?

How to Distinguish Slashed Zero From Eight (0->8) in OCR

How to use loaded LSTM attention model to make predictions on input?

How to know the input shape of a pytorch model?

Data normalization Convolutional Autoencoders

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