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20 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 ...
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0answers
5 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 ...
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0answers
16 views

Not regularizing bias term in gradient descent for softmax

I'm writing a gradient descent function for a multi-class classifier using softmax. I'm a bit confused about how regularization should work in the gradient function. I've specified my matrix, X, such ...
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0answers
14 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 ...
2
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1answer
56 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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0answers
16 views

find the parameter of model with Q learning

I have a question with regard to Q learning. I am a beginner in Q learning. Every example that I saw is related to the environment that the goal is assigned to a place. (like cliff walk that we know ...
1
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1answer
32 views

Knowing Joint probability distribution between feature-label space

I am doing a course CORNELL CS4780 "Machine Learning for Intelligent Systems". you can find the link here for the one I am going to refer 1st lecture The professor explains, we have a sample $D ={...
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0answers
26 views

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 ...
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0answers
38 views

Sklearn Decision Tree as weak learner in Adaboost not working properly

I'm trying to implement Adaboost algorithm with sklearn decision tree as the Weak Learner - at each step I want to choose one feature with one threshold to classify all samples. I have 1400 long ...
3
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1answer
39 views

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 ...
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2answers
52 views

What Non-linearities are best in Denoising RNN Autoencoders and where should the go?

I’m employing a denoising RNN autoencoder for a project relating to motion capture data. This is my first time using auto encoder architectures and I was just wondering what non-linearities should be ...
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0answers
137 views

A generalized quadratic loss for deep neural network for multi-class classification

I'm evaluating the possibility to introduce a new loss for the subject described above. Let $l$ be the number of examples, $q$ the number of classes, $p_{i,r}$ the $r$ classifier output on example $i$...
1
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1answer
76 views

Growth function of a 6-dimensional linear classifier

In our course, we are dealing with a d-dimensional classification problem ($\chi = \mathbb{R}^{d}$ as our input space, and $y = \{-1,+1\}$). Our hypothesis class $H$ consists of all hypotheses of the ...
2
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0answers
87 views

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, ...
4
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2answers
190 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 ...
1
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2answers
56 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 ...
3
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0answers
95 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 ...
2
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1answer
118 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 ...
2
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0answers
473 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 ...
4
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4answers
510 views

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?
3
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1answer
82 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 ...
3
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1answer
30 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 ...
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2answers
108 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. ...
3
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3answers
1k 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 ...
3
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2answers
1k views

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
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1answer
67 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 ...
1
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1answer
137 views

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 ...
0
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1answer
168 views

Verification of trained system

I have trained a system in order to detect some features from a set of scenarios. Now the system can detect and classify that set. How can I validate how that system works in real world? What ...
2
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1answer
987 views

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 ...