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Recent questions in Machine Learning

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1 answers 1 answer
438
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Step-by-Step Hidden State Calculation in a Recurrent Neural Network
Consider a simplified Recurrent Neural Network (RNN) with a single input and a single output. The hidden state is updated using the recurrence:$$ h_t = \text{ReLU}(W_{ih}...
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1 answers 1 answer
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How to calculate feed-forward (forward-propagation) in neural network for classification?
For the following neural network, calculate accuracy of classification, given these settings
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1.3k views
When to use one hot encode a category and when to segment by category?
When pre processing data for machine learning. Is there any difference in using one hot encoding to turn categoric variables into numeric variables or to segment the data...
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1 1 answer
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7.6k views
How to calculate the residual errors, (MSE),(MAE), and (RMSE)?
Given the following sample dataset with 5 samples and 2 features:SampleFeature 1Feature 2Actual ValuePredicted Value1234623456345674567856789Calculate the residual errors...
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1.5k views
Creating tables from unstructured texts about stock market
I am trying to extract information such as profits, revenues and others along with their corresponding dates and quarters from an unstructured text about stock market and...
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0 0 answers
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1.5k views
Kmeans clustering in python - Giving original labels to predicted clusters
I have a dataset with 7 labels in the target variable.X = data.drop('target', axis=1) Y = data['target'] Y.unique()array(['Normal_Weight', 'Overweight_Level_I', 'Overweig...
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1.0k views
Bankruptcy prediction and credit card
Hello everyone newbie data scientist here.I'm working on a project to predict companies (probability of default) bankruptcy probability and to assign them a credit rating...
1 1 vote
1 1 answer
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1.4k views
When dealing with categorical values, should the 'year' column be encoded using OHE or OrdinalEncoder?
It's a car prices dataset, and so I'm assuming that the more recent the more value a car should have. The values in the 'year' column simply consist of years from 1995 to...
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1 answers 1 answer
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3.6k views
How to create a Decision Tree using the ID3 algorithm?
NASA wants to be able to discriminate between Martians (M) and Humans (H) based on thefollowing characteristics: Green ∈{N, Y }, Legs ∈{2, 3}, Height ∈{S, T}, Smelly ∈{N,...
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0 0 answers
442
442 views
Which algorithm is best to detect anomalies within a data set of 5k+ user-login events?
I am trying to build an unsupervised ML model to detect anomalies within 5000+ users' login data. I selected 5 features contained within each of the user-login events (e...
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0 0 answers
377
377 views
How we incorporate the polyline in machine learnning tools
Suppose I have to predict the traffic of a road segment based on available data such as number of houses and business along the road segment. Which machine learning tool ...
1 1 vote
1 1 answer
723
723 views
Do I need to save the standardization transformation?
When I standardized my data when I created my model. Do I need to save the standardization transformation when I want to predict with my model new data ?
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1 1 answer
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1.0k views
How to predict from unseen data?
Hi. I have a question about model-based predictions when data is only available after the fact. Let me give you an example. I try to predict the result (HOME, AWAY or a D...
1 1 vote
1 answers 1 answer
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1.3k views
How to model unknown yet data
So far, I have modeled on known historical data. What if there are variables known only after the fact?Let me give you an example. I want to predict the outcome of the ma...
1 1 vote
1 1 answer
677
677 views
From microarray data, which tools of pattern recognition can you apply to identify the genes responsible for diseases?
“During the last decade, the advent of microarray datasets stimulated a new line of research called Bioinformatics. A microarray database is a repository containing micro...
1 1 vote
1 1 answer
589
589 views
Can we use a trained model to supervise the other machine learning models?
Is that possible to train a machine using another trained machine?
2 2 votes
0 0 answers
428
428 views
Where can I find illustrative real life machine learning examples (In business, work. etc.)?
Is there a website for finding illustrative real-life examples of using machine learning? For instance: for End to End Machine Learning, End to End Machine Learning, Clas...
1 1 vote
0 0 answers
339
339 views
Where can I find simple machine learning mathematics explained visually?
Could you please let me know where I can find simple machine learning mathematics explained visually?
3 3 votes
1 answers 1 answer
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6.0k views
How to update the weights in backpropagation algorithm when activation function in not linear?
The goal of backpropagation is to optimize the weights so that the neural network can learn how to correctly map arbitrary inputs to outputs.Assume for the following neur...
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