Questions tagged [learning]

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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
19 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
29 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 ...
2
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1answer
21 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
26 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
125 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 $i$...
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1answer
32 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 ...
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0answers
82 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, ...
3
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2answers
94 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
49 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
86 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 ...
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0answers
36 views

Checking skewness of variables

I follow a tutorial for the current dataset I'm working on. In this tutorial the target variable is check for skewness, and corrected het for by by taking the log transformation. Hereafter, skewness ...
2
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1answer
82 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 ...
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0answers
293 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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4answers
505 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
67 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 ...
2
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1answer
27 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
102 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. ...
1
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3answers
939 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
796 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
65 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
131 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 ...
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1answer
165 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
925 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 ...