Questions tagged [learning]
43 questions
4
votes
2 answers
Linear Regression
I'm starting to learn machine learning and one of the first things that is mentioned is the usage of a linear regression method. Basically, we have a bunch of data points and we want to fit a line such that the errors we get from the line and the…
Mozza
- 41
- 1
4
votes
4 answers
How to know for sure if we can learn from a given data or not?
I want to know that given a set of data and a target, how we can know for sure whether we can learn from that data to make any inference or not?
Pranav Pandey
- 41
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3
votes
1 answer
How to explain the connection between the input layer and H1 of this CNN Architecture?
I am currently reading the paper proposed by LeCun et al. for handwritten zip code recognition. There is this figure below visualizing the CNN architecture. But I do not really understand how the connection between Layer H1 and input layer makes…
user77241
3
votes
0 answers
Which machine learning algorithm can be used for traffic prediction using images from Google Maps?
I am doing a traffic prediction project.
I am using data from Google Maps. I'm collecting maps of different location and analyzing them. I am converting the maps to images, analyzing the image, and predict traffic.
Which machine learning algorithm…
Shruthi Mc
- 31
- 1
3
votes
1 answer
Machine Learning/Text Analysis/Algorithm Pointers
I'm looking for a reference or point in the right direction since I'm not too familiar with machine learning or algorithms. I'd prefer to work in R, but I could also do Python. Any reference to a specific package I could use would be great.
So I…
DCK
- 31
- 1
3
votes
1 answer
Columns with no (or nearly no) differences between rows worth keeping?
I have a dataset which contains multiple columns. On analysis, I found out that there were few columns which contain just a single value. There was 0 in all the rows of these columns. Does it hold any information or should I remove such columns from…
Andrew Rupert
- 31
- 1
3
votes
3 answers
How to prepare data for LSTM time series prediction
I have a binary classification task for time series data.
Every 14 rows in my CSV is relevant to one time slot. How should I prepare this data to be used in LSTM? In other word how to feed the model with this data?
Kaggle
- 2,977
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- 15
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3
votes
1 answer
Interpret User Interfaces with Machine Learning
I am currently working on a prototype of an application that should be able to interact with user interfaces.
Now every user interface has some common elements, like buttons, scrollbars, input fields etc.
I would like to use Machine Learning to…
Mohammed Ajil
- 33
- 3
2
votes
1 answer
Response variable at the group level, independent variables at the entity level
I have a dataset of entities which each belong to a particular group (i.e. entity=schools and group=school district). I also have lots of auxiliary variables on each entity.
However, for my response variable I only have information at the group…
Jaysin Worrel
- 21
- 1
2
votes
1 answer
Colab can not connect to GPU from a python file
I am trying to run a github deep learning repository in Colab but I can not connect the python files to colab GPU.
I can connect to GPU when writing a script in the colab notebook e.g. when I run this cod from a notebook cell :
import os,…
Ibraheem
- 23
- 4
2
votes
0 answers
How to use learning curve in reality
CONTEXT:
I have some simulated data by which I made and trained a model. during my training, I enjoyed having a large number of samples, and therefore my model is leveraging it by being decently complex. Yet since this model is trained on simulated…
arash
- 185
- 4
2
votes
0 answers
Learning to rank: how is the label calculated?
I am studying learning to rank and not sure I understand how the train sample and final label (relevance score) is constructed.
Lets assume we sell furniture online. We have logged customer's query, product customer bought, clicked.
Example:
User A…
Alina
- 143
- 1
- 7
2
votes
1 answer
CNN to many outputs
I have a dataset with 100 columns (categorial one-hot encoded) and 1 column with text data (simple sentences) and i want to build a neural network to arround 380.000 outputs labels. I have no idea what can i do.
I was thinking about a CNN with…
Raphael Ribeiro
- 33
- 4
2
votes
0 answers
Why can't continuous variables be used for the estimator of learning curves, when using StratifiedKFold to split the dataset?
I want to produce learning curves for three regression models run on data containing 200 samples, 10 features and 1 target variable.
The target variable contains two clusters/peaks, making it imbalanced between and within the clusters, so I applied…
Chris
- 21
- 3
2
votes
2 answers
Which is better for Data Science, a double major in Math & CS or Physics & CS?
My dream occupation is to work as a Data Scientist.
I'm soon going to be completing my first semester as a physics student, as part of an incredibly prestigious physics program. We get to run an experiment at CERN in our third year! I'm currently…
Amit Levy
- 129
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