Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 7

Should I set higher dropout prob if there are plenty of data?

I have some excessive amount of data for the size of NN I am able to teach in a reasonable time. If I feed all the data into the network...

Asked on 12/14/2021

1 answer

MLPRegressor Output Range

I am using Scikit's MLPRegressor for a timeseries prediction task. My data is scaled between 0 and 1 using the MinMaxScaler and my model is initialized using the following...

Asked on 12/14/2021

2 answer

Can we use decreasing step size to replace mini-batch in SGD?

As far as I know, mini-batch can be used to reduce the variance of the gradient, but I am also considering if we can achieve the same result if we...

Asked on 12/14/2021

2 answer

Sensorfusion: Generate virtual sensor based on analysis of sensorsdata

I have a steam engine which is equipped with the following sensors:temperature sensor in the boiler roomtemperature sensor in the heating roompressure sensor in the boiler roomrotations-per-minute-sensor which measures rpm...

Asked on 12/14/2021

1 answer

Should augmentation also be performed on the validation set when the dataset is imbalanced?

I am training a CNN on images (2 classes) and I have an imbalanced dataset (1:7 ratio). I am trying to tackle this by performing offline image augmentation. Should I...

Asked on 12/14/2021

2 answer

Train model for predicting events based on other signal events

I am trying to build a supervised ML-Model in the area of predictive Maintenance where the features are signal events, which can be represented with a gantt chart: ...

Asked on 12/14/2021

1 answer

Does YOLO give preference to color over shape or vice-versa while detecting an object?

If you train your YOLO model only on grayscale images to detect car, then would it able to recognise a car in a colored image also. If so, then can...

Asked on 12/14/2021

1 answer

Dynamic Images in Tableau

A Tableau Workbook I'm working on has different users logging in to see the data for their company. In the dashboard I have created a dynamic image that shows the...

Asked on 12/14/2021

1 answer

Merging sparse and dense data in machine learning to improve the performance

I have sparse features which are predictive, also I have some dense features which are also predictive. I need to combine these features together to improve the overall performance of...

Asked on 12/11/2021

5 answer

One-class classification in Keras using Autoencoders?

I am trying to develop a model based on one-class classification approach. For example, the model should to identify if a given picture contains a cat or not. Keep in...

Asked on 12/11/2021

1 answer

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