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Recent questions tagged machine-learning

2 2 votes
1 answers 1 answer
20.9k
20.9k views
How to calculate k-means clustering with a numerical example?
Use the k-means algorithm and Euclidean distance to cluster the following 8 examples into 3 clusters:$A1=(2,10), A2=(2,5), A3=(8,4), A4=(5,8), A5=(7,5), A6=(6,4), A7=(1,2...
2 2 votes
1 answers 1 answer
4.9k
4.9k views
How to calculate the class probabilities and classify using Naive Bayes classifier for NLP?
We want to use Naive Bayes for tagging documents. It is a classification task that we want to assign a class (tag) to each string. We currently have two tags: Sport and N...
2 2 votes
1 answers 1 answer
20.4k
20.4k views
How to calculate Covariance Matrix and Principal Components for PCA?
The dataset with two features $(x,y)$ is shown as follows (note $y$ in this example is the second feature, not a target value):xy2.52.40.50.72.22.91.92.23.13.02.32.72.01....
5 5 votes
1 answers 1 answer
9.1k
9.1k views
How to calculate convolutions on a CONV layer for a Convolutional Neural Network?
Assume we have a $5\times5$ px RGB image with 3 channels respectively for R, G, and B. IfR2000012001201021210101020G0212211100002202002002111B0100111201102021011012112 We...
0 0 votes
1 1 answer
2.9k
2.9k views
What is the difference between cross-validation and validation set?
I am confused about this figure. Is not this a cross-validation test or we have a fixed few examples for which it is tested while you also have various folds being tested...
1 1 vote
1 1 answer
9.4k
9.4k views
In DBSCAN algorithm, how should we choose optimal eps and minimum points?
2 2 votes
2 2 answers
10.5k
10.5k views
How to optimize weights in Logistic Regression?
The hypothesis (model) of Logistic Regression which is a binary classifier ( $y =\{0,1\} $) is given in the equation below:Hypothesis$S(z)=P(y=1 | x)=h_{\theta}(x)=\frac{...
0 0 votes
1 1 answer
1.8k
1.8k views
Could you please explain math symbols behind Machine Learning equations?
1 1 vote
1 1 answer
779
779 views
How do I Plot the linear classifier calculated with LIBLINEAR using sklearn?
Make a scatter plot where the x-axis is the height of the citizens and the y-axis is the weight of the citizens. The color of the points need to be different for males an...
1 1 vote
1 1 answer
593
593 views
is impossible predict hours time series to minutes time series?
https://stackoverflow.com/questions/55930051/is-impossible-predict-hours-time-series-to-minutes-time-series i want to this hours time series predict model to minute predi...
1 1 vote
0 0 answers
966
966 views
how can i convert LSTM model to linear regression model?
Here is LSTM predict model and i want to convert Linear Regression.... model.fit(x_train, y_train, epochs=10, batch_size=16) trainPredict = model.predict(x_train) testPre...
3 3 votes
1 answers 1 answer
7.4k
7.4k views
How to update weights in backpropagation algorithm (a numerical example)?
Assume we have the following neural network and all activation functions are $f(z)=z$. If the weights are initialized with the values you see in table below, what will be...
0 0 votes
1 answers 1 answer
1.8k
1.8k views
How to calculate univariate linear regression?
For the following dataset, calculate the regression equation $\hat{y} = ax+b$datasetxy1423501075161002615036200
3 3 votes
2 answers 2 answers
8.4k
8.4k views
How to calculate Softmax Regression probabilities in this example?
The scatter plot of Iris Dataset is shown in the figure below. Assume Softmax Regression is used to classify Iris to Setosa, Versicolor, or Viriginica using just petal le...
3 3 votes
1 answers 1 answer
9.4k
9.4k views
How to calculate feed-forward (forward-propagation) in neural network?
In the figure below, a neural network is shown. Calculate the following:1) How many neurons do we have in the input layer and the output layer?2) How many hidden layers d...
1 1 vote
1 1 answer
2.7k
2.7k views
How do I reduce RMSE in a Random Forest Regressor?
I preprocessed the data, normalized the numerical features, and did one hot encoding for the categorical ones. I end up with a model with R^2=0.7 and RMSE which is 15% of...
2 2 votes
1 answers 1 answer
6.6k
6.6k views
How to update weights using gradient decent algorithm?
For the below neural network, imagine we are going to use the backpropagation algorithm to update weights. If the Bias (b) in this problem is always 0 (ignore bias when y...
1 1 vote
0 0 answers
7.8k
7.8k views
Looking for guidance on whether I have the necessary data to answer a Regression question
Hi everyone.I'm currently working on my final project for a Data Science degree and after a month of literature review, exploratory analysis and model testing, I'm not su...
3 3 votes
1 answers 1 answer
10.8k
10.8k views
How to calculate Softmax Regression probabilities?
The scatter plot of Iris Dataset is shown in the figure below. Assume Softmax Regression is used to classify Iris to Setosa, Versicolor, or Viriginica using just petal le...
1 1 vote
1 1 answer
586
586 views
model.predict is abnormal
the code is import numpy as np import pandas as pd from keras.models import Sequential from keras.layers import Dense, LSTM, Dropout from keras.layers.core import Dense, ...
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