All Questions

I want to implement a unidirectional and a bidirectional LSTM in tensorflow keras wrapper with the same amount of units. As an example I implement the unidirectional LSTM with 256 units, and the ...

I have in total three columns of data in a dataframe, lets say coulmn_a, coulmn_b and column_res with 40 datapoints in each column. Is it possible to train a LSTM model based on column_a and column_b ...

XGBoost and standard gradient boosting train learners to fit the residuals rather than the observations themselves. I understand that this aspect of the algorithm matches the boosting mechanism which ...

I have the set of queries for classification task using Gradient Boosting Classifier of scikit learn. I want to enrich the model by feeding additional features along with GloVe. How should I approach ...

I used K-means to get the number of clusters for my data(Elbow Method). Then I was trying to see if for some specific hyperparameters can we get the same number of clusters for DBSCAN. I tried Brute-...

So I currently have a text pattern detection challenge to solve at work. I am trying to make an outlier detection algorithm for a database, for string columns. For example let's say I have the ...

I am trying to understand the mathematics behind SAMME AdaBoost: https://web.stanford.edu/~hastie/Papers/samme.pdf At some stage, the paper adds a constraint for f to be estimable: I do not ...

I have this script: ...

I am puzzled over this example: https://towardsdatascience.com/deploying-deep-learning-models-using-tensorflow-serving-with-docker-and-flask-3b9a76ffbbda In the write-up, only the TF Serving is within ...

I can't quite visualize how transfer learning of pre-trained word embeddings is useful in an NLP task( say named entity recognition ) . I'm studying Andrew NG's Sequence Models course and he seems to ...

I am training a CNN model. In the first one I got a training accuracy of 87%(0.29 loss) and validation accuracy of 87%(0.30 loss) at 5th epoch, I kept training it for total of 15 epochs and as ...

I have a set of individual level data x11, x12, x13... that is grouped into each own groups g1, g2, g3. I'm trying to create a prediction model which predicts y1, y2, y3... The simplest method would ...

Has anyone managed to enter a masters program in data science with a bachelors in IT? Given that sometimes BSc IT degrees might not be very Maths intensive would completing a PGcert in Mathematics be ...

Imagine the next structure (for simplicity, there's no bias, and activation formatting with sigmoid or relu, just weights). The input has two neurons, the two hidden layers have 3 neurons each, the ...

i loaded big data (more than 500k rows, having 7 features) in csv Excel for classification using ML. the orange can not load and stop responding. (laptop ram 8GB). Any tips on how to handle this issue?...