Answers by tofighi

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}...

For the following neural network, calculate accuracy of classification, given these settings

Given the following sample dataset with 5 samples and 2 features:SampleFeature 1Feature 2Actual ValuePredicted Value1234623456345674567856789Calculate the residual errors...

Provide a short list of free cloud labs on Qwiklabs

I have the code below, outputting the accuracy. How can I output the F1-score instead? Thanks in advance,clf.fit(data_train,target_train) preds = clf.predict(data_test) #...

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...

Assume the function is defined as $f(x,y)=x^2+y^2-4xy$, and $1\leq x \leq 4,1\leq y \leq 4$. The Genetic Algorithm is selected to maximize the function. If the first pop...

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,...

I have a hard time distinguishing terminologies of SparkSQL. While SparkSQL are quite flexible in terms of abstraction layers, its really difficult for beginner to naviga...

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 ?

Whener I run Jupyter notebook there are some kernels that do not exist on system and generate errors. How can I remove them?

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...

“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...

Is that possible to train a machine using another trained machine?

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...

We have data on 1000 pieces of fruit. The fruit being a Banana, Orange or some Other fruit and imagine we know 3 features of each fruit, whether it’s long or not, sweet o...

How should i preprocess my data if i am gonna use a pretrainned word embedding like glove or word2vec?Should I use stemming or stopword removal techniques?