Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 99

Optimal points of $f(x,y)=x^2 + y^2 + beta xy + x + 2y$

I am self-learning basic optimization theory and algorithms from "An Introduction to Optimization" by Chong and Zak. I would like someone to verify my solution to this problem, on finding...

Asked on 06/21/2021

1 answer

Logbook: Machine Learning approaches

In the past, when trying different machine learning algorithms in order to solve a problem, I used to write drown the set of approaches on a notebook, keeping details such...

Asked on 06/21/2021 by Jorge

3 answer

Classification problem with 2 level features

Consider an automated house, where we can collect router data every minute. The objective is to predict router fail/no fail (1/0) in a future time window. The router sends data...

Asked on 06/21/2021 by molse

0 answer

Generating normally distributed data frame with 3 columns

I am trying to generate a normally distributed data frame in Python with 3 columns. Each column requires a separate input of mean, standard deviation, lower and upper values. I...

Asked on 06/21/2021 by NKU

1 answer

Is there any time series model which handles data at variable frequencies.?

Goal: Predict the yellow points.(yellow events appear at varying frequencies) But I'm struggling to find a good model to fit this use case.Most of the time series algorithms are...

Asked on 06/21/2021 by MichaelRazum

2 answer

Neural Network Architecture for Identifying Image Copies

I have a large image collection and wish to identify the images within that collection that appear to copy other images from the collection. To give you a sense of...

Asked on 06/21/2021 by duhaime

2 answer

While Merging image datasets which of the image parameters should be prepossessed/Normalized before giving to a CNN Model?

When two datasets are merged or images of different parameters size, dimension, Format are combine which parameters of the datasets should be normalized/ pre-processed before giving it to a model?...

Asked on 06/21/2021 by faizi

0 answer

Tweedie Loss for Keras

We are currently using XGBoost model with Tweedie loss for solving a regression problem which works very good, now I wanted to move our model to Keras and experience with...

Asked on 06/21/2021 by odyse

2 answer

Reason behind the sum of rate factors for calculating cost function derivative

Suppose we have a network of neurons like below: We make a little change in weight w[l][j][k] on our...

Asked on 06/21/2021

1 answer

Adding additional information in content-based recommendations

I have a book dataset where 100 users have rated the books as like/dislike. Each observation with featuresTable1 : ['user_id','book_name', 'book_genre','author','date_published','like/dislike'] These users were asked to list down their...

Asked on 06/21/2021 by rachithr

0 answer

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