Questions tagged [data-science]
Use for questions related to Data Science aspects of AI. Generally speaking, only basic Data Science questions should be asked on this Stack, ideally involving the fundamental concepts. For more advanced questions related to Data Science, please use the Data Science stack: https://datascience.stackexchange.com/
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Dimensions and file sizes of AI types (img/txt/sound) that work commercially and projections of future AI based on dimensionality and file simplicity?
Is it accurate that current AI breakthroughs are proportional to low dimensional complexity of datasets and small data throughput?
Image and text file renders are 100's of kilobytes, and they are ...
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35
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Optimal decision with continuous, stochastic signals and rewards
I am performing a task, where I have to decide which projects to pursue at a given point in time, where the projects have different horizons of 30 minutes.
At a given point in time, forecasts are made ...
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4
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3
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882
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What is a pipeline in machine learning?
I have heard the term "pipeline" used in many different contexts. Now I'm trying to bring some clarity to the terminology: What exactly is a "pipeline" in machine learning?
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Why aren’t intellectual leaders stepping in to clarify that we know little to nothing about how intelligence works or how to build intelligence?
There is no known way of building intelligence/superintelligence today (often and hereafter referred to as AGI), nor is there a known way towards building it in the future. Unlike fusion reactors, for ...
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Is synthetic data just a placebo for immature models?
I apologize for the provocative question, but let me elaborate.
I am trying to wrap my head around the logic of synthetic data.
When you train a model what you are trying to do is to teach the ground ...
- 295
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In $n$ dimensions, why do we need at least $n+1$ sample points to have covariance of sample data non-singular?
In $n$ dimensions, why do we need at least $n+1$ sample points to have covariance of sample data non-singular?
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Calculating i_delta in upper confidence bound algorithm
I wanted to apply upper confidence bound algorithm.
There is a 2 dimensional dataset in it Each user in the dataset reviewed (((all))) movies with 0 or 1 not some movies only
And i want to get the ...
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0
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1
answer
39
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Second Language for Machine Learning [closed]
I want to pursue Machine Learning and Data Science as a future career and wanted to get your advice on a good second language that will be useful in the ML field. Currently, I am learning Python and ...
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2
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How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis?
How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis?
I am interested in detecting small structures on images which are themselves many GB in size. ...
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What is a good strategy for breaking up content into prompts and completions for OpenAI fine tuning?
I want to train a fine-tuned openai model to know more about specific Judo throws and training methodologies. I have a bunch of documents I have written on Judo throws that I would like to use for ...
- 101
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35
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How to organize data for training a neural network to raytrace images
I am trying to train a neural network to go from a series of numbers(data about a 3D scene, such as camera position, sphere position, radius, and color, etc) to a raytraced image. I can generate as ...
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2
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How to decide which column has more weightage to output
As per Image we can see Column_A value is directly proportional to output,
While Change in value of Column_B has no effects in output.
So basically I want to know is there any algorithm where I can ...
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55
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How to handle missing data for an ordinal feature variable for a deep learning model?
BACKGROUND: I am developing a deep learning model in which one feature variable (out of many) is the grade of cancer, an ordinal variable. Below is a breakdown of my data by grade:
...
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How to determine whether this situation belongs to data leakage or not
Suppose that I use three features (x1, x2, x3) to predict the value of y. After hyperparameters tuning, the r2 score on train/valid/test set is 0.92, 0.54, 0.55 respectively, it's not so good.(It is ...
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The Small Set Expansion Hypothesis, this problem was solved or is open problem yet?
I found this problem by article called "Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science" published at 2016. I`m looking for an open problem at Data Science or/and ...
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2
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What is the relationship between data science, artificial intelligence,machine learning and computer vision?
I am beginner to this field and i am trying to find big picture and i have tried to explore youtube and google images in this regard. According to my understanding ,machine learning is subset of ...
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how to manage the impact of Covid on building a machine learning model
I need your suggestions for using historical data to build a machine learning model for analyzing the market and build an AI model(tree based model/random forest or regression analysis) for setting ...
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2
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2
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124
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LSTM exploding? - multiple parallel time series with multiple variables
I have the following situation:
Stock
Time_Stamps
Feature_1
Feature_2
Feature_n
Price
Stock_1
2019
0.5
1.0
1.0
100
Stock_1
2020
0.7
1.3
0.9
90
Stock_2
2019
0.3
0.9
1.1
110
Stock_2
2020
0.2
0.8
1....
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2
votes
1
answer
151
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What are the possible ways to handle imbalance in multi-class image datasets?
Image imbalance is one of the major factor in the performance of DL model. Some of the methods that I found to tackle this are oversampling, under-sampling, SMOTE. Over-sampling has cons as it makes ...
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1
answer
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How to tackle the human error made in labeling datasets for classification tasks like facial expression recognition?
I am working on the Facial Expression Recognition Task. One of the most challenging tasks that I faced was human error in labeling the datasets (ex: let's say FER2013).
Are there anyways to Handle ...
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2
answers
819
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Musical notes interpretation [closed]
Musical notes
Musical notes videos
Piano
Can AI, Machine learning, Data science, Computer vision, image processing technologies assist in interpreting musical notes ?
Input dataset : Musical notes
...
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52
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Generating a dataset from data with "assumed" lables
I've got a task similar to the following:
Out of x amount of people, I need to predict, who could be a good athlete and who not. The thing is, I don't have data on the athletic performance of those ...
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1
answer
49
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How can I address missing values for LSTM?
I'm a student and writing my first paper for submission on conference. I have a question
there is a dataset below. this is temporal-spatial dataset.
...
2
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0
answers
152
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Taking a machine learning model to production\deployment
I've designed a machine learning model for the predictive maintenance of machines. The data used for training and testing the ML model is the data from various sensors connected to various parts of ...
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2
votes
1
answer
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Is there a clustering algorithm that can make n clusters and the n+1 "others" cluster?
As far as I know all clustering algorithms assume that all delivered data points have to find its cluster.
My question is, is there an algorithm that could focus only on n clusters (number stated by ...
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0
answers
104
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Does the order of data augmentation and normalization matter?
What is the preferred order of data augmentation and normalization? Is it the former followed by the latter?
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2
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0
answers
87
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Why do I get higher average dice accuracy for less data
I am working on image segmentation of MRI thigh images with deep learning (Unet). I noticed that I get a higher average dice accuracy over my predicted masks if I have less samples in the test data ...
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vote
0
answers
66
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Why is the accuracy of my model very low on a separate dataset from the training and test datasets?
I am working on stock price prediction project, I am using the support vector regression (SVR) model for it.
As I am splitting my data into train and test, I am getting high accuracy while predicting ...
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2
votes
1
answer
624
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Is this dataset with only two features suitable for clustering with k-means?
I am working with the K-means clustering algorithm for unsupervised learning.
Is the following dataset suitable for the k-means clustering task or not? Why or why not? The dataset has only two ...
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0
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71
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Are there any general guidelines for dealing with imbalanced data through upsampling or downsampling?
Are there any general guidelines for dealing with imbalanced data through upsampling/downsampling?
This Google developer guide suggests performing downsampling with upweighting, but for the most ...
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0
answers
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What are the best datasets available for music information retrieval?
I am interested in doing some work in classification problems in music information retrieval. I know that there are some formats of datasets (such as MIDI, Spectrogram, Piano-roll, MusicXML, etc.) for ...
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0
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35
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Possible approaches to dealing with unbalanced dataset and highly biased deep learning algorithm
I have an extremely unbalanced video dataset for a two class video classification problem.All my videos in my current video dataset is $40$ second long with $900p$ resolution.However the dataset is ...
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1
answer
63
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Predicting a day's data
I have a dataset containing timestamp and temperature. For each day, I have 1440 values viz., I have data for every minute of that day(60minutes * 24hrs = 1440).
The Dataset looks like this:
As an ...
3
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0
answers
137
views
Speaker Identification / Recognition for less size audio files
I am working on speaker identification problem using GMM (Gaussian Mixture Model). I have to just identify one user present in the given audio, so for second class noise or silent audio may use or not ...
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2
votes
1
answer
208
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How to define the "Pre-Processing" in machine learning?
Is every process (such as data acquisition, splitting the data for validation, data cleaning, or feature engineering) that is done on the data before we train the model always called the pre-...
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780
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Can alpha-beta pruning be used for applications apart from games?
Can alpha-beta pruning/ minimax be used for systems apart from games? Like for selecting the right customer for a product, etc. (the typical data science problems)? I have seen people do it, but can't ...
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1
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56
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How to calculate the false positives and negatives?
I have a huge amount of data and I want to calculate my false positive and false negative. Is there a software that can help me determine it?
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3
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76
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What should we do when we have equal observations with different labels?
Suppose we have a labeled data set with columns $A$, $B$, and $C$ and a binary outcome variable $X$. Suppose we have rows as follows:
...
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1
answer
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How to rescale data to its original range after MinMaxScaler? [closed]
I'm using sklearn's MinMaxScaler in order to scale my data down. However, it would be nice to be able to rescale it back to its original range. Is there any way I ...
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0
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Scikit-Learn: monotoneous quantile estimation
I would like to implement various AI-estimators for quantile estimation for a regression problem. It would be necessary to have non-crossing quantiles, that is larger quantiles would correspond to ...
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1
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270
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How do I know if my dataset is ready for a machine learning model?
I am new in this area of Machine Learning and Neural Networks. Currently, I'm taking some courses on Udemy and reading a book about it, but I still have one big question regarding data pre-processing.
...
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1
answer
90
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How to make a distinction between item feature and environment feature?
My data is stock data with features such as stocks' closing prices.I am curious to know if I can put the economy feature such as 'national interest rate' or 'unemployment rate' besides each stocks' ...
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Are hadoop ecosystem tools main goal is to break up large data sets into fast readable files?
I am new to big data theory, and during the past 3 days, I took an official big data course with some of the best instructors available in my country in this domain. The things was little bit obscure ...
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What data formats/pipelining are best to store and wrangle data which contains both text and float vectors?
Often in NLP project the data points contain both text and float embeddings, and it's very tricky to deal with. CSVs take up a ton of memory and are slow to load. But most the other data formats seem ...
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56
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What types of machine learning model would fit? [closed]
I am working on a supervised machine learning problem where I have more than 10 probably 50 or 100 predicting label categories. Which type of model can be used to work on this type of problem in ...
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1
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Loss/accuracy on Synthetic data [closed]
I am trying to understand if there is any difference in the the interpretation of accuracy and loss on synthetic data vs real data.
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1
answer
256
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Parameters to calculate affluence in localities of Metro city
I have to calculate the affluence in localities of Metro city. To calculate affluence, I am considering a parameter per capita income.
Where I can get a dataset of it? What are other parameters I ...
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1
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157
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Which field to study to learn & create a.i generated simulations?
I wasn't sure how to title this question so pardon me please.
You may have seen at least one video of those "INSANE A.I created simulation of {X} doing {Y & Z} like the following ones:
A.I ...
anon
1
vote
1
answer
84
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Help with Novelty Recognition and Binary Classification for Emotion Recognition
I’m looking for advice regarding my ML project.
Using a special wristband, I am able to collect a bunch of physiological data from human subjects. I want to develop an application to recognize when ...
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2
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1
answer
102
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What is the impact of scaling the features on the performance of the model?
I am trying to generate a model that uses several physicochemical properties of a molecule (including number of atoms, number of rings, volume, etc.) to predict a numeric value $Y$. I would like to ...
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