Recent activity in Machine Learning

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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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For the following neural network, calculate accuracy of classification, given these settings
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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...
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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...
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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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Given the following sample dataset with 5 samples and 2 features:SampleFeature 1Feature 2Actual ValuePredicted Value1234623456345674567856789Calculate the residual errors...
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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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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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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...
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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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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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The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the opti...
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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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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 ...
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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...
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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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Could you please show a summary of all the branches in Machine Learning?
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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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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...
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