text stringlengths 83 79.5k |
|---|
H: What is the difference between classification and regression?
I understand classification....a discrete response or category, like animal is dog or cat.
The author says..."Regression techniques predict continuous changes such as the change in temperature, power demand, or stock market prices."
I can't wrap my head ... |
H: Which model can solve the "sequence demand" problem?
I have a regression problem. When a truck comes, it influences the demand of employees for the next 30 days. Additionally the demand depends on the type of truck (when the truck is big, we need more people).
Which algorithm/model can help to predict a demand on e... |
H: Which is first ? Tuning the parameters or selecting the model
I've been reading about how we split our data into 3 parts; generally, we use the validation set to help us tune the parameters and the test set to have an unbiased estimate on how well does our model perform and thus we can compare models based on the r... |
H: How to make a Power Spectral Density Plot in R
I have a time series point process representing neuron spikes. I have computed and plotted autocovariance using acf but now I need to plot the Power Spectral Density.
Power Spectral Density is defined as the Fourier Transform of the autocovariance, so I have calculated... |
H: How good will a neural network perform on an unusual data?
I want to make a simulation based on neural network that will
estimate the situation label(not a discrete value) based on state
values. Suppose I have data with 40 features/columns and one feature
is limited in the range of 25-50, now the goal is t... |
H: Multi-Class Text Classification: Doc2Vec performing very bad compared to Hashing Vector
I have a multi-class text classification problem in hand this is similar to product category mapping where we map products to its correct Category based on the text content provided.
I first created a solution with Hashing Vecto... |
H: How to calculate Cumulative Sum with Groupby in Python?
I am trying to calculate cumulative sum with groupby using Pandas's DataFrame. However, I don't get expected output.
My Source Code:
import pandas as pd
Employee = [['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],
['CSE', 'CSE', 'EEE', 'EEE', 'CE', 'CE', 'ME'... |
H: In a binary classification, should the test dataset be balanced?
I have a dataset with 4519 samples labeled as "1", and 18921 samples labeled as "0" in a binary classification exercise. I am well aware that during the training phase of a classification algorithm (in this case, a Random Forest) the number of 0/1 sam... |
H: How to prefer no choice instead of bad choice with sklearn decision tree
I'm using sklearn decision trees to classify documents in two possible types "type1" and "type2".
I've isolated few features that seem pertinent and tried to combine them manually to evaluate the result of a model.
When classifying the documen... |
H: Can random forest algorithm provide customer churn prediction probability at each customer instead at class level?
I have customer training data set from telecom industry along with its test data set containing churn values 0 & 1 for each customer. I also have customer data set whose churn value is to be predicted ... |
H: What are the best suited books for A Beginner to learn Data Science?
I'm an undergraduate student studying data science. My goal is to understand the fundamentals of this field and then move on to complex and more advanced topics. I'm interested in knowing:
What are some of the books I should consider reading? (fr... |
H: Is Loss not a good indication of performance?
Im trying to segment 3D volumes using a 3D uNet network. Ive reached a stage where I am getting very good validation loss using CrossEntropy and BCE
idx: 0 of 53 - Validation Loss: 0.029650183394551277
idx: 5 of 53 - Validation Loss: 0.009899887256324291
idx: 10 ... |
H: Batch normalization vs batch size
I have noticed that my performance of VGG 16 network gets better if I increase the batch size from $64$ to $256$. I have also observed that, using batch size $64$, the with and without batch normalization results have lot of difference. With batch norm results being poorer. As I in... |
H: Forcing a multi-label multi-class tree-based classifier to make more label predictions per document
I'm been experimenting with tree based classifiers for multi-label document classification. All the trees I've created, however, tend to predict only one or two labels per document. Whereas the training set has about... |
H: Caret + RStudio: Error "Please make sure `y` is a factor or numeric value" when training
I'm new to Caret and I've been trying a couple things to get the hang of things. But this error happened to me and I'm not sure why.
I've been trying to train a model with some data I got from "PimaIndiansDiabetes". These are t... |
H: Sparse_categorical_crossentropy vs categorical_crossentropy (keras, accuracy)
Which is better for accuracy or are they the same?
Of course, if you use categorical_crossentropy you use one hot encoding, and if you use sparse_categorical_crossentropy you encode as normal integers.
Additionally, when is one better tha... |
H: Cleaning the univariate dataset with high noise
At this time, I am having a dataset containing the operating duration for some sensors. This could be considered as a univariate dataset because it has only 1 dimension.
For example:
[1]: [10, 12, 13, 15, 16] indicates that the sensor [1] will have some operating dur... |
H: How to make my Neural Netwok run on GPU instead of CPU
I have installed Anaconda3 and have installed latest versions of Keras and Tensorflow.
Running this command :
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
I find the Notebook is running in CPU:
[name: "/device:CPU:0"
... |
H: How can I implement tangent distance for k-nearest neighbor in python/scikit-learn?
My ultimate aim is to have a function which I can feed into scikit-learn's NearestNeighbor class as a custom metric parameter.
Existing packages
I have been researching existing libraries for a while.
The only thing I found was thi... |
H: Classifier not predicting real data
I'm trying to train a classifier to recognize my own signature. This is how I built my classifier
How did I collect data?
Signed on a piece of paper for 50 times and created 50 images out of it.
for negative test cases, I downloaded IAM Handwriting database. which contains aroun... |
H: Is it possible to train this image classifier?
I'm writing a mobile app that will enable a user to scan a Craft Beer Label from a bottle, tap, six pack, etc.
The scan will only work for my customers who are the Brewers themselves, so I will have access to all of the artwork used for their labels.
My concern is arou... |
H: examples of semi structured data ?
i read that Json or XML are unstructured data; Are Json or XML data or are they tools to tag the data?
I understand from this wikipedia page (https://en.wikipedia.org/wiki/Semi-structured_data) that semi structured data are data without a formal database structure, but still have ... |
H: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() using panda python
enter preformatted text hereHere I have data to import from a CSV file.I wrote an equation inside the class and to solve the equation data will import from the CSV file.
When I run my code I got an erro... |
H: learning curve Sklearn
I was trying Random Forest Algorithm on Boston dataset to predict the house prices medv with the help of sklearn's RandomForestRegressor.
Just to evaluate how good is the model performing I tried sklearn's learning curve with below code
train_sizes = [1, 25, 50, 100, 200, 390] # 390 is 80% o... |
H: Merging 3 csv files
I have 3 csv files that I would like to combine with rStudio, but I get an error.
How can I resolve this error?
Code
# Load the files ’city.csv’, ’country.csv’ and ’countrylanguage.csv’ into R as data frames. Note that these files have no headers.
city <- read.csv("city.csv", header = FALSE)... |
H: Converting lower case to upper case
I am trying to convert a column from lower case to upper case, but it is not working.
My code:
#Change all city name in city to uppercase.
library(magrittr)
city %>% `colnames<-`(tolower(names(name))) %>% head
AI: I do not understand your question completely, however if you are t... |
H: Finding outliers from multiple files
I am dealing with a very strange problem. I have a lot of files. I need to show which files are similar and which one has exception/outliers using its data.
I can show with unsupervised learning using KMeans / DBSCAN or similar ML algorithms for each file. But what would be the... |
H: How would you a apply a cnn to do age estimation on static images?
After doing some reading on age estimation using the IMDB wiki dataset I wanted to try it out myself on a smaller scale but I dont quite understand the application of the CNN. Any clarification would be great.
AI: With a CNN, one of the typical (and... |
H: Very slow convergence with CNN
I am new to deep learning. I am working on training an SSD model on a set of small objects. I am using Adam gradient descent for optimization and a large input (800x800), but I seem to only get an improvement of 0.010 after every 20 or so epochs(350 steps).
What can I do or look for ... |
H: Terminology question
In Machine Learning, is the definition of the Model just the algorithm that was selected for the problem domain, or is the Model the algorithm and the training data?
Thanks.
AI: Model in general can be said as a representation of a process.
In machine learning, the model can be referred to som... |
H: Looking for second opinion on checking that attribute in data frame is unique using r
Check whether attribute name in city is unique (i.e. each city has a different name). data_frame is city with a column called name.
length(unique(city$name))
rapply(city,function(name)length(unique(name)))
unique(city$name)
AI: m... |
H: How to use CNN to build ROC curves
I know we can use SVMs probabilities after predicting validation data in order to build ROC curves. However, for CNNs, I have a binary classification problem and so the sigmoid activation function will give me probabilities of both classes. So, which probability should I use to bu... |
H: found \N in my data does not count as missing values in r
So scrolling through my columns I find \N embedded. I need to count them, but I get an error. Would it be considered a missing value, it's new to me.
# Check whether attribute HeadOfState in country has any missing values, and if so, how many.
country$headO... |
H: How to calculate time difference in between rows using loop in panda python
I have a CSV file with columns date, time. I want to calculate row-by-row the time difference time_diff in the time column. I wrote the following code but it's incorrect.
Here is my code and at bottom, my CSV file:
#def time_diff(x):
date_... |
H: Activation in convolution layer
On a CNN, what is use of using Activation function in convolution layer?
Does single weight is used for full matrix or for every pixel or box it may vary?
AI: The use is the same as always, without the non-linear activation, no matter how many layers you use, the result will still be... |
H: error trying to build a histogram using r with the rStudio application
Using ggplot2 I am attempting to create a histogram. I have a column that is full on the continents. I need to add all the continents which I attempted to do with the aggregate function.
data <- aggregate(country$continent,country["continent"]... |
H: How to get the formulas used by seasonal_decompose for Trend and Seasonality
I'm trying to use decomposition to forecast into the future. From my reading I understand that I can do this by adding a trend formula to a seasonality formula. I know that I can decompose a time series with this:
import statsmodels.api ... |
H: find the values of theta in a cost function from andrew ng course
I was following Andrew NG ML course on coursera. I was stuck at cost function.
How can I find values for Theta-0 and Theta-1 ?
So I came to know Theta-0 as y intercept so the values must be Theta-0 = 0.5 but how can I find the value for Theta-1?
Any... |
H: Sentiment analysis for multiple entry in one text
I would like to do sentiment analysis on a set of financial news from the S&P 500 for given entities (organization names). However, each news (rows in my dataset) may have more than one entity and I have to do analysis for each entity separately the same news. First... |
H: Continous bag of words claimed to be unsupervised, how is it working?
I'm following these two lectures on CBOW and skip-gram word2vec models. The first is lec 12 and the next lec 13 of a deep learning series
https://www.youtube.com/watch?v=syWB-YMYZvI
https://www.youtube.com/watch?v=GMCwS7tS5ZM&t=548s
Up to about ... |
H: Structure the dataset for financial machine learning
I am trying to construct a dataset to apply MLP in forecasting financial returns. The main idea is that I want to predict future equity returns (1 month ahead, but the horizon can vary, just to give an idea) using fundamental data.
My dataset is made of n feature... |
H: How can I parallelize GloVe reverse lookups in PyTorch?
I feel like I'm missing something obvious here because I can't find any discussion of this. I want to do a lot of reverse lookups (nearest neighbor distance searches) on the GloVe embeddings for a word generation network. I'm currently just iterating through... |
H: What clustering algorithm is appropriate for clustering paths?
I have a dataset with vectors in 2-dimensional space that form separate sequences (paths). Full data is presented below: ,
while a random sample of 5 paths looks like below (please note that incontinuity in paths are natural for the data and doesn't mea... |
H: Feature Scaling and normalization in cross-validation set
I have a question that normally, when we are making a training set and a final test set,
we would compute the mean and standard deviation for preprocessing
using the training data and use it to standardize (transform) the test
data.
So, when we are ma... |
H: Installed module pysubgroup not found in Jupyter Notebook
I'm trying to use the pysubgroup python package referenced here.
I think I properly installed it as shown below, with no errors when I installed it:
> mymacs-MacBook-Pro:dq-pattern-research mymac$ pip3 search pysubgroup
> pysubgroup (0.5.4) - pysubgroup is ... |
H: Predicting sequences newbie question
I have a ranked list of rows of 100 lines of data
1- 8 4 0 5 9 3
2- 0 3 3 5 3 2
3- 0 0 2 4 0 2
..
100- 0 2 3 2 2 0
Is it possible to predict
a) when given a new sequence where it would fit?
b) a way to generate a row that would fit into the top 1, ... |
H: Can you learn an algorithm from a trained model?
Are there any papers where an algorithm was entirely based on the results of a trained model? Let me explain.
Suppose you want to come up with an algorithm that sorts three numbers $a,b,c$. I can generate several training data points $x_i = (a_i, b_i, c_i), a_i, b_i... |
H: Regression in Python with many NaN values spread across all columns
I want to do a regression to predict "value" based on the other columns from below example table. The data was collected by single indicator and not across all data points, resulting in many NaN/blank values:
value age education gender
... |
H: Grouping and summing with r
I have a data.frame that contains two columns that I want to group and sum the direct labor for employees.
Employees Actual work
Joe Smo 8
Joe Smo 7
Joe Smo 5
Sam Adams 7
Sam Adams 5
Sam Adams 3
The desired outcome is
Results:
Joe Smo 20
Sam Adams 15
H... |
H: How Does Weighted KNN Work?
I am reading notes on using weights for KNN and I came across an example that I don't really understand.
Suppose we have K = 7 and we obtain the following:
Decision set = {A, A, A, A, B, B, B}
If this was the standard KNN algorithm we would pick A, however the notes give an example of u... |
H: Cost function in linear regression
Can anyone help me about cost function in linear regression. As from the below plot
we have actual values and predicted values and I assumed the answer as zero but it actually is 14/6?
Can anyone help out please?
AI: $h_\theta$ implies that you're trying to model the relation betw... |
H: KL divergence in VAE
If I understand correctly KL-divergence is relative entropy of two distributions. To calculate KL divergence of two distributions, you would need two vectors of random variables.
What I do not understand it, how you can calculate KL divergence in VAE (latent space vector and N(0,1) as it is sta... |
H: How to write formula inside the loop to run this code in every hour continously in every day in panda python
I have a csv file with five column data value.
five columns are ['A','B','C','D','time']
Here my 'D' column is the output column and 'A'is my first column.
Here I upload my coda and csv file.
data = pd.read... |
H: Do I need to convert booleans to ints to enter them in a machine learning algorithm?
My dataset contains a lot of columns with booleans do I really need to change them so I can insert them into the algorithm?
I'm gonna use KNN right now but will test other algorithms later so I'm trying to ready up my dataset
AI: I... |
H: density of a synset
I am reading the paper Text Classification Using WordNet Hypernyms. In it, the author gives the definition of synset density as the number of occurrences of a synset in the WordNet output divided by the number of words in the document.
What is the synset density representation?
AI: Welcome to th... |
H: Why is there a difference of "ML" vs "MLLIB" in Apache Spark's documentation?
I am trying to figure out which pyspark library to use with Word2Vec and I'm presented with two options according to the pyspark documentation.
https://spark.apache.org/docs/2.2.0/mllib-feature-extraction.html#word2vec
https://spark.apac... |
H: What affects the magnitude of lasso penalty of a feature?
Is there a way to intuitively tell if the lasso penalty for a particular feature will be small or large?
Consider the following scenario:
Imagine we use Lasso regression on a dataset of 100 features $ [X_1, X_2, X_3, ..., X_{100}] $. Now, if we take one fea... |
H: How understand scatter like this way?
I am trying to learn some EDA skills and I get a scatter like this way:
I don't see that there are some model relationships or group-related patterns between these two data. I mean what I thought was right? I am not pretty sure about it.
If not mind, could anyone help me and ... |
H: Should estimated probabilities from multi class classification sum to 1
I am using a neural network with sigmoid activation function $h(z) = 1 / {(1+e^{-z})} $ in order to classify image data into 6 categories. When running the trained neural network over new image data, I noticed that the sums of the estimated pr... |
H: How would I be able to improve my CNN model (Keras)?
Recently I read a research paper on age detection using facial images. So right now because of that I was trying to see how far I could get by applying a CNN to a dataset of facial images (with their respective ages) in order to predict their ages which would be... |
H: Class imbalance in one hot encoding for CNN
I am building a 2D Convolutional Neural Network for MFCC features for audio classification.
The issue I am facing is that there are 2 classes and huge imbalance between them. One class has 17687 samples while other has 67737 samples. I have done one hot encoding so I have... |
H: Why am I getting crossvalidation scores of 0 only
I am trying Catboost package with iris dataset with following code:
from sklearn.datasets import load_iris
iris = load_iris()
from catboost import CatBoostClassifier
model = CatBoostClassifier(iterations=50,
learning_rate=0.1, depth=4,
... |
H: Validation accuracy is always close to training accuracy
I am trying to tune the hyperparameters of a LSTM I have to do time series forecasting. I have noticed that my validation accuracy is always very close to my training accuracy. I am not sure whether or not this is good or bad or what it implies in general?
... |
H: Data preprocessing, relative scale problems in features of same type
I am using Keras NN with theanos backend in Python. In my data i have multiple features of the same type but in different columns (on purpose). Here is an example.
F1 F2
0. 8673 7490
1. 5602 5602
2. 4352 2365
When i go to process this, say M... |
H: GBM vs XGBOOST? Key differences?
I am trying to understand the key differences between GBM and XGBOOST. I tried to google it, but could not find any good answers explaining the differences between the two algorithms and why xgboost almost always performs better than GBM. What makes XGBOOST so fast?
AI: Quote from t... |
H: How does sigmoid saturate with large weights?
In cs231n course , it is mentioned that
If the initial weights are too large then most neurons would become
saturated and the network will barely learn.
How do the neurons get saturated? Large weights may lead to a z (output of saturation) which is not cery close 0 ... |
H: Check similarity of table/csv of Product Names
We've got a list of approximately 18,000 product names (they're from 80-90 sources, so quite a few that are similar but not duplicates - these were picked as DISTINCT from a table) unfortunately there are different ways of expressing these names. We have to try and nor... |
H: How to create a training set for sequence labelling
I have a bunch of unlabeled text data that I would like to hand label. Are there any tools out there that you can use to produce your own labels? Ideally it would show a sentence at a time and give me the option of choosing a label for each word.
AI: There are sev... |
H: Stanford parser Python : Combine NER and POS tags
Hi I am experimenting with stanford parser and NER with python
Input = "Rami Eid is studying at Stony Brook University in NY"
Parser Output:
NER Output :
[(u'Rami', u'PERSON'), (u'Eid', u'PERSON'), (u'is', u'O'), (u'studying', u'O'), (u'at', u'O'), (u'Stony', u'O... |
H: Reinforcement learning, pendulum python
I'm having trouble finding a good reward function for the pendulum problem, the function I'm using: $-x^2 - 0.25*(\text{xdot}^2)$
which is the quadratic error from the top. with $x$ representing the current location of the pendulum and $\text{xdot}$ the angular velocity.
It t... |
H: Accuracy improvement for logistic regression model
I have achieved 68% accuracy with my logistic regression model. I want to increase the accuracy of the model. How can I apply stepwise regression in this code and how beneficial it would be for my model? What changes shall I make in my code to get more accuracy wit... |
H: Clarification wanted for make_step function of Google's deep dream script
From https://github.com/google/deepdream/blob/master/dream.ipynb
def objective_L2(dst): # Our training objective. Google has since release a way to load
dst.diff[:] = dst.data # arbitrary objectives from other images. We'll ... |
H: Overfitting in machine learning
The graph above shows how accuracy stops increasing after reaching a certain number of features. There are also sudden drops in accuracy at some points. Can this be attrrubuted to overfitting? I am training a decision tree by the way.
AI: I can tell from your screenshot that you are... |
H: Feature Selection Algorithm for Attributes with Logical Relationships (like "AND")
I'm looking at datasets where the the attributes and the target class have a logical relationsships. All attributes and the target class are binary.
Here's an example: Neither feature#1 nor feature#2 have a significant correlation wi... |
H: Feature selection where adding features are deteriorating model
k
I am training a kNN classifier with 144 features and graphed the accuracy vs number of features used and got this. What might be the reason for the drops in the accuracy at some points of the graph? I am using accelerometer-gyroscope-magnetometer fus... |
H: RNN's with multiple features
I have a bit of self taught knowledge working with Machine Learning algorithms (the basic Random Forest and Linear Regression type stuff). I decided to branch out and begin learning RNN's with Keras. When looking at most of the examples, which usually involve stock predictions, I haven'... |
H: Visualize changes other time
I am analyzing a population movement pattern and I would like to design a visualization like this one:
Is there any tool or language (preferably R) I can use for that purpose?
Here is a sample of my dataset.
AI: Of course you can reproduce that graph with some ggplot!
Here is the code... |
H: How to approach a Data Science case study question?
I recently had a phone interview with a consumer tech company for a quant position. The question was basically, "imagine a facebook style social network site. Six months ago a new feature called 'mentions' was added which allows you to tag your friends with an @ s... |
H: Question about the simple example for batch normalization given in "deep learning" book
In the section about batch normalization of Deep Learning book by Ian Goodfellow (chapter link) there is the follwing text:
As example, suppose we have a deep neural network that has only one
unit per layerand does not use a... |
H: Binning data in one of the columns of a dataframe(Using R)
I have a data frame that contains random values between 0-60 (inclusive 0 & 60). These values denote months. I want to bin the data into three categories
(x<=6, 6< x <=12, x>12) and generate a new single columns which will be a factor containing 3 values (0... |
H: Python Keras NN, handling n_samples of float outputs
I am using Keras with Theanos backend in Python.
I have 2117 samples and each sample has an individual target (on purpose) ie. 2117 outputs.
As opposed to categories, the targets are ratings eg. (16.4714494876, 17.4129353234, 17.4476570289) the entirety of the nu... |
H: Uploading huge dataset
I have few questions:
Is there a website to upload huge research dataset (over 100GB) for free?
Which type of compression (rar, zip ... etc) is good for jpeg images?
In case of dataset of 120GB. what is the best split for this big files (eg: 20 GB each)?
AI: Don't compress files that are alr... |
H: number of parameters for convolution layers
In this highly cited paper, authors give the following discussion on the number of weight parameters. I am not very clear why it has $49C^2$ parameters. I think it should be $49C$ since each of $C$ input channels shares the same filter, which has $49$ parameters.
AI: Actu... |
H: Error opening Iris.tab file in Orange load data widget
I am attempting to load in the Iris.tab data set into the Orange load data widget. However, when I do this, I get the following error message (shown above).
This keeps popping up when I start up Orange Data Mining and try to load the iris.tab data file. It use... |
H: Which Outlier Detection Method? Why?
For detecting an outlier in a vector I have tested different well known outlier detection methods. Finally, I used combination of different methods and an agreement between those methods. Now, a person asks why did you choose this combination and algorithms!? You can reach diffe... |
H: Format for X_train in keras using theano
I want to try out Keras (Theano backend) for regressions after already using sklearn.
For this I uses this nice tutorial http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/
and tried to replace the training data there with my own.
imp... |
H: How do I integrate Github files to Orange for ML?
I am currently trying to make a facial recognition workflow with Orange but since the widgets are still prototypes they are not all available in Orange through the add-on menu. I found the Github files for the widgets but don't know how to install this so that I ca... |
H: What algorithms should I choose for a recommender system and why?
To my knowledge, recommender systems are broadly classified into collaborative and content. Collaborative in turn is divided into 1) Memory (uses similarity metrics) and 2) Model (well known Matrix/Tensor factorization). Content based involves constr... |
H: Is it acceptable to select a random child node when using a Decision Tree (trained via ID3) to predict if an unknown attribute value is encountered
I am writing a decision tree trained with the ID3 algorithm from scratch. I wanted to be able to train on and classify continuous data, so I implemented k-means cluster... |
H: Is there a term for "this month last year" in a report?
I'm building a report that has month over month data, but also "this month last year". Is there a better/standard way of describing this?
AI: Same period last year is what you want.
BTW, your question does not appear to be about data science.
References
https:... |
H: Explanation for MLP classification probability
I showed some results of one implemented NN MLP model.
In the result, for classification of two categories, if I sum up the probabilities of both cats, them some sum would be greater than 1.
When I was asked why the sum is greater than 1, I gave the guess that the prob... |
H: Analysis of railway data - Detecting outliers
I would like some pointers about the following problem:
I would like to detect anomalies in a pretty huge collection of railway data. Or create a baseline model for detecting future anomalies. The data I have at my disposal exists out of coordinates and speed at the giv... |
H: Estimating Titan X graphics card impact on performance
I'm currently training CNNs using Tensorflow (Python) on my GTX 970 (specs here). I recently took a look at the new pascal based Titan Xs and I'm wondering what an estimated performance/speed gain would be if I upgraded?
The memory increase is an obvious benefi... |
H: Difference between paragraph2vec and doc2vec
Is paragraph2vec the same as Doc2vec or is every approach different?
AI: There may be differing implementations, but these two terms refer to the same thing.
Both convert a generic block of text into a vector similarly to how word2vec converts a word to vector. Paragraph... |
H: Expanding Standard deviation
The problem I face is of a language barrier. I have a set of samples consisting of the following data:
Sample number Organism Count
1 5
2 8
3 5
4 7
5 13
... ...
I need to find the number of samp... |
H: Would a convolution network make sense for policy based tic-tac-toe approach?
This is inspired from my previous question, comments to which made me realize that a CNN was unsuitable for the problem The CNN required over 700k training datasets while a MLP did it in in less than 50k.
Now, I'm trying to solve the next... |
H: Why is sum a succinct constraint?
I'm new to data mining and have been going through constraint-based query mining lately. I came across the concept of succinctness which basically details a constraint as succinct, if we can generate all the candidate item-sets precisely, based on an itemset satisfying the constrai... |
H: More features hurts when underfitting?
I was training a binary classifier using XGBClassifier (basically boosted decision trees if I understand it correctly). I have 10K training examples. I have two distinct set of features (but they could be dependent), one contains 26 features (call the set A) and the other cont... |
H: How to generate bulk graphics using R
I have a dataset of Key Performance Indicator (KPI) and for each KPI I have a current level of achivement and 2 targets : Target1 and Target2.
How can I automatically generate one graphic for each achievement as in the file attached here.
As I have many KPIs I would like to gen... |
H: Association rule mining and Orange3 package Python
how i use Orange3 package for association rule mining ,in Orange 2.7 version Orange.associate.AssociationRulesSparseInducer() method is present but its not available in Orange3 ..
AI: In Orange 3, AssociationRulesSparseInducer is removed.
The documentation of Orang... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.