# Questions tagged [learning]

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### Classification or Regression approach?

I have a dataset with x variables and the target y (between 0 and 100%, so 0 and 1) My goal os to predict if a sample is in a group of y [0,0.25), [25,50) or [50,100]. And I am wondering if I should ...
20 views

### How to manually calculate the gradient that will propagate back over the network using the REINFORCE algorithm?

I am trying to implement deep reinforcement policy gradient REINFORCE in C++ and for my case there is no "autograd" method like in pytorch so I have to manually calculate the gradient. Let´s ...
38 views

### 1D Convolution on multiple channels of varying length

Every datapoint in my dataset consists of 3 time series. The data in the time series is discretized into equal time-bins but the 3 time series were measured for varying length. Time series 1 has 10 ...
• 101
1 vote
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### How to change/adapt loss function while using "class" incremental learning

As a beginner on class incremental learning and trying to understand the general concept. In class incremental learning, we have a model that can make a classification between classes A, B, and C. By ...
• 121
1 vote
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### r or r+1 in Temporal Difference Learning?

this is probably a very simple question for most of you but I have seen this different formulation of the TD Learning function in many different papers and can't really wrap my head around it: Just as ...
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1 vote
36 views

### How to visualize ner dataset tagged using BILOU?

I have a dataset for ner which is tagged using BILOU tagging method and example of same is below ...
• 111
25 views

### Individual models gives quite same distribution on Test set, whereas Ensembling gives better result but very different distribution

I am working on a binary classification problem with unbalanced data (17% for positive class). The problem is as following: My three individual models when predicting on the test set (for which I don'...
35 views

### using average precision as metric for imbalanced problem (learning curve example) [closed]

I have an imbalanced problem (2% target class) and therefore need an appropriate metric - so I chose average_precision. My code: ...
• 37
73 views

### How to approach for predicting semantic similarity between two phrases

I need pointers on the latest research, tools, and techniques for predicting semantic similarity between two phrases. Problem Statement: Given two propositions A ...
17 views

### 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 ...
1 vote
16 views

### Tableau: Dealing with Date values [closed]

Im a noob at tableau. I have a quick question I have data that doesn't explicitly list the date. (There is no column labelled "date" ) However there are columns with the following headers: "Income ...
• 11
188 views

### Colab can not connect to GPU from a python file [closed]

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 ...
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1 vote
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### 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, ...
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450 views

### 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 ...
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1 vote
73 views

### How do I approach learning Data Science/ML the 'rightest' way? [closed]

First of all, I am not sure if this is the right place to post this so please do let me know if it isn't and tell me where it should be. I really just don't know where to go with this question. Some ...
• 111
97 views

### Which machine learning algorithm can be used for traffic prediction using images from Google Maps? [closed]

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 ...
218 views

### 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 ...
819 views

### 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 ...
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### 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?
97 views

### 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 ...
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32 views

### 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 ...
139 views

### Learning to cluster using one sample per class

I have a question regarding an idea. I know many ML algorithms and I know how they work and perform. But I have an idea which I believe in should be similar to one of the current available methods. ...
2k views

### 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 ...
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### Which is better for Data Science, a double major in Math & CS or Physics & CS? [closed]

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 ...
1 vote
72 views

### Topics to cover for software developer interested in data analytics

First of all I don't know if this is the appropriate place to post this question. If it's not, I apologize in advance. It seems like the most relevant Stack Exchange sub. A little about myself: I'm ...
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1 vote
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### Any guidance for new beginners interested in data science [closed]

I am a student with a master degree in biostatistics. I am interested in data science. I know SAS and R. No experience with python. May I ask for your experts' advice on how to teach myself data ...