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Augmentation for numeric small dataset

I have a dataset that is very small and for this reason it performs very poorly (65,20). How can I enlarge the dataset? I multiplied the dataset by a series of numbers and entered it into the main ...
Erfan Mollai's user avatar
0 votes
0 answers
8 views

Validation accuracy dip and recovery when restarting training

i was fine-tuning this large language model with Stochastic Gradient Descent and mid epoch i stopped training, and saved the model weights. Then at a later time, reloaded the weights and restarted the ...
clam's user avatar
  • 101
-1 votes
0 answers
17 views

Machine Learning Predictive Machine

I am looking to hire someone to build a machine learning predictive machine. I have a dataset of 1000 data pts. Day 1000 = 0 Day 1001 = 1 Day 1002 = 1 Day 1003 =?
Russell lopez's user avatar
0 votes
0 answers
8 views

Addons installation problem in orange data mining tool

i can not install addons using Orange 3.3
user161527's user avatar
0 votes
0 answers
20 views

Why isn't the validation data loss close to the test data loss?

First I set aside about 15% of my data as test data. Then, I used tensorflow.keras to create a relatively simple neural net model. Then I set the model.fit() parameter validation_split=0.2, so 20% of ...
Alex's user avatar
  • 1
0 votes
0 answers
16 views

Reinforcement Learning: Formally, does an exponentially decaying epsilon satisfy GLIE?

I am aware that exponentially decaying exploration constants (epsilon) are used practically. Formally, though, do they satisfy the GLIE condition? Specifically, relating this to the Borel-Cantelli ...
jeremy.ebg's user avatar
0 votes
1 answer
25 views

I need a RapidMiner Tutor for my Healthcare Quality and Outcomes Analytics class [closed]

I’m currently working on my Master’s in Healthcare Informatics and Analytics and I need help with RapidMiner assignments. Does anyone know where I can find an online tutor? I’ve tried a few websites ...
Krystal Castillo's user avatar
0 votes
1 answer
11 views

Learnability of a finite series

How could one approach the following question: Given a series $ \{a_n\} \subset \mathbb{R}^2 $ where $n \in [N]$ , I want to characterize the predictability or learnability of it. One definition could ...
user2679290's user avatar
0 votes
1 answer
53 views

Gradients Exploding with Custom Gradient and 2 layer MLP

I am training a 2 layer MLP on an off-policy learning-to-rank task, where the input is a list of documents against a query with a feature vector for each query-document pair, i.e. if there are M ...
SHASHANK GUPTA's user avatar
0 votes
0 answers
13 views

Learning additional parameters that are not weights of a neural network

In addition to training the weights of a neural network, I also want to optimize other parameters (that are constant but satisfy some conditions over the entire data set). As an example, one can ...
Acad's user avatar
  • 101
0 votes
2 answers
61 views

Is R programming a good way to start with Data Science? [closed]

I am a software engineer (currently CTO) specialized on web and mobile applications picking up data science skills. I do this mainly for future projects within my startup that works in digital ...
Ray's user avatar
  • 3
0 votes
2 answers
26 views

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 ...
Mechamod's user avatar
1 vote
1 answer
25 views

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 ...
Mas A's user avatar
  • 121
1 vote
0 answers
17 views

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 ...
Laurie's user avatar
  • 111
1 vote
0 answers
52 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 ...
shahid khan's user avatar
0 votes
1 answer
31 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'...
kamel gaanoun's user avatar
-1 votes
1 answer
56 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: ...
mathella's user avatar
0 votes
1 answer
129 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 ...
Ashwini Dhekane's user avatar
2 votes
1 answer
61 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 ...
Jaysin Worrel's user avatar
1 vote
0 answers
17 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 ...
jfp's user avatar
  • 11
2 votes
1 answer
417 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 ...
Ibraheem's user avatar
1 vote
1 answer
569 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 ={...
v09's user avatar
  • 133
2 votes
0 answers
32 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 ...
arash's user avatar
  • 85
1 vote
0 answers
94 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 ...
Yotam Even nir's user avatar
3 votes
1 answer
65 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 ...
user avatar
0 votes
2 answers
83 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 ...
Henry Powell's user avatar
1 vote
0 answers
156 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 $i$...
filippo portera's user avatar
1 vote
1 answer
216 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 ...
drommedaris's user avatar
2 votes
0 answers
122 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, ...
Alina's user avatar
  • 143
4 votes
2 answers
523 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 ...
Mozza's user avatar
  • 41
1 vote
2 answers
99 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 ...
Eyad H.'s user avatar
  • 111
3 votes
0 answers
100 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 ...
Shruthi Mc's user avatar
2 votes
1 answer
330 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 ...
Raphael Ribeiro's user avatar
2 votes
0 answers
943 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 ...
Chris's user avatar
  • 21
4 votes
4 answers
696 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?
Pranav Pandey's user avatar
3 votes
1 answer
107 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 ...
DCK's user avatar
  • 31
3 votes
1 answer
37 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 ...
Andrew Rupert's user avatar
-1 votes
2 answers
176 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. ...
Morty's user avatar
  • 1
3 votes
3 answers
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 ...
Kaggle's user avatar
  • 2,877
3 votes
2 answers
2k 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 ...
Amit Levy's user avatar
  • 131
1 vote
1 answer
78 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 ...
TheMethod's user avatar
  • 113
1 vote
1 answer
159 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 ...
freezingswallow's user avatar
0 votes
1 answer
180 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 ...
MSD561's user avatar
  • 103
2 votes
1 answer
1k 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 ...
Mohammed Ajil's user avatar