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data
databases
career
logistic-regression
classification
apache-hadoop
similarity
supervised-learning
statistics
data-mining
unsupervised-learning
normalization
machine-learning
lstm
feature-scaling
terminology
xgboost
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tensorflow
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computer-vision
Solving linear classification task with deep network
machine-learning
neural-network
classification
deep-learning
NLP for appartement ads
machine-learning
python
classification
r
deep-learning
What it Would be easier Building a Deep Net From Scratch or Using an existing Architecture?
machine-learning
neural-network
deep-learning
convnet
computer-vision
Amount of data needed and hypothesis for SVD
data-mining
Is supervised machine learning by definition predictive?
machine-learning
How to deal with a sparse matrix when using a perceptron based recommender system?
machine-learning
recommender-system
perceptron
Updating the weights of the filters in a CNN
machine-learning
neural-network
deep-learning
image-classification
cnn
Use 1 or 2 norm for Voronoi vector quantization?
unsupervised-learning
How to search for an optimal dithering pattern?
gradient-descent
meta-learning
How does kera calculate accuracy for multi label classification?
neural-network
text-mining
keras
lstm
What are limitations of decision tree approaches to data analysis?
machine-learning
classification
random-forest
decision-trees
Explain Binary Classification with output 0.5 (True)
machine-learning
classification
deep-learning
Do I need an Artificial Intelligence API?
machine-learning
java
Machine Learning - Same impurity values
machine-learning
decision-trees
How to detect anomalous points
statistics
visualization
anomaly-detection
outlier
anomaly
Predicting Missing Features
machine-learning
neural-network
missing-data
How to apply SelectKBest in azure machine learning
feature-selection
azure-ml
Publicly Available Datasets
open-source
dataset
How is that possible that a reward function depends both on the next state and an action from current state?
python
reinforcement-learning
Datasource for regression model prediction : Machine Learning
machine-learning
Can dropout and batch normalization be applied to convolution layers
machine-learning
deep-learning
cnn
Knime : Scatter Plot
data-mining
visualization
Columns with no (or nearly no) differences between rows worth keeping?
data
pandas
learning
Spliting training data into multiple variables using R
r
bigdata
Data amount for a very simple chatbot
machine-learning
nlp
What is the purpose of untrainable weights in Keras
machine-learning
deep-learning
keras
Multi-class text classification with LSTM in Keras
keras
dimensionality-reduction
multiclass-classification
multilabel-classification
Reinforcement Learning - What's the formula for the value function
reinforcement-learning
Word embedding vectors for keyphrase extraction
nlp
text-mining
word2vec
word-embeddings
Multi GPU in keras
python
deep-learning
tensorflow
keras
gpu
Idf values of English words
nlp
tfidf
How to analyse 2 data set to make an categorize and recommendation model
machine-learning
classification
regression
data-cleaning
multilabel-classification
Pre-train using sigmoid and train using ReLU?
rbm
How to treat outliers in a time series dataset?
python
dataset
regression
Training the parameters of a Restricted Boltzman machine
neural-network
optimization
rbm
Quantifying 'growth friction' when projecting target goals
forecast
Sample weights changing predictions even if all weights are the same
xgboost
Checking Correlation of Categorical variables in SPSS
correlation
categorical-data
spss
How to print out to a file using Standford Classifier
classification
nlp
supervised-learning
Some questions about GoogleNet paper
deep-learning
inception
How to get stanford universal dependencies in python NLTK in specific format
python
nltk
stanford-nlp
How to generate training data for OCR
machine-learning
python
classification
data
What is the appropriate learning algorithm?
machine-learning
data-mining
data
Using scikit-learn FeatureHasher
machine-learning
scikit-learn
feature-extraction
feature-engineering
SMOTE and multi class oversampling
python
sampling
smote
Predicting three related scores with one joint model
machine-learning
predictive-modeling
how can i sum first day value of each id together?
python
pandas
Distance measure for ternary feature
clustering
distance
svm KKT condition violation that alpha choice in SMO
svm
What is the difference between data-driven methods and machine learning?
machine-learning
data-mining
data
How to group data and plot line graphs
pandas
graphs
ipython
Parse and Scrape ecommerce websites with a generalizable and scalable approach
python
scraping
parsing
How should I preprocess WORD ID?
machine-learning
scikit-learn
dataset
data-cleaning
pandas
What is the difference between "expected return" and "expected reward" in the context of RL?
reinforcement-learning
terminology
How can autoencoders be used for clustering?
neural-network
clustering
time-series
unsupervised-learning
autoencoder
What ML algorithm can I use for building a "recommended" list for players?
machine-learning
python
recommender-system
What is representation in optical character recognition?
feature-selection
feature-extraction
feature-engineering
ocr
How do I go from number data to string data (NN)?
machine-learning
python
neural-network
classification
backpropagation
How to make unstructured data to structured data?
machine-learning
neural-network
deep-learning
supervised-learning
High, constant training loss with CNN
machine-learning
neural-network
keras
cnn
ocr
Name of ML discipline for trainable clusterer - supervised clustering, or group ID assignment
machine-learning
neural-network
classification
Parameter estimation: reduce time
parameter
How to deal with time series which change in seasonality or other patterns?
data-mining
clustering
time-series
beginner
How to replace levels with certain value?
r
How to think about prediction error that is not convex in hyperparameter, or over the course of training
neural-network
deep-learning
hyperparameter
regularization
dropout
Notion of cluster centers and cluster comparison in Density Based Algorithms
python
clustering
outlier
clusters
Pass data to CNN with multiple outputs in eras
python
classification
keras
convnet
Keyword extraction using deep learning
machine-learning
deep-learning
data-mining
nlp
Deconvolution vs Sub-pixel Convolution
neural-network
convnet
convolution
Age range prediction according to browsing history
machine-learning
dataset
Clustering algorithms for high dimensional binary sparse data
machine-learning
clustering
unsupervised-learning
What exactly is a class in kNN search?
classification
About training and cross validation on a time series problem
time-series
cross-validation
Assessing Group Similarities and Dissimilarities Post PCA
r
similarity
pca
distance
How differential semi-gradient Sarsa updates estimated average reward?
machine-learning
reinforcement-learning
Text annotating process, quality vs quantity?
machine-learning
nlp
classification
data-mining
text-mining
Train/Test Split after perform SMOTE
machine-learning
unbalanced-classes
evaluation
Using standard ML models for modeling a derivative when the data set only contains function values
machine-learning
time-series
optimization
Monte Carlo and K-fold cross-validation
cross-validation
One hot encoding alternatives for large categorical values?
machine-learning
dataset
dimensionality-reduction
encoding
Business exception reporting
recommender-system
visualization
What is the best technique/algorithm to compare trees changes?
machine-learning
classification
Filter unwanted terms
nlp
text-mining
Using ML to create unique descriptors?
machine-learning
neural-network
keras
Filtering periodic data noise
python
data-cleaning
Classify future performance of customer
classification
forecast
How do you train a machine learning model to learn how to adjust images (contrast, brightness, saturation, crop etc.) from manually adjusted images?
machine-learning
deep-learning
image-classification
computer-vision
image-recognition
Multi-Source Time Series Data Prediction
time-series
forecast
multitask-learning
lstm
How to determine feature importance while using xgboost in pipeline?
python
scikit-learn
xgboost
Documentation for package rnn in R
rnn
AttributeError: 'numpy.ndarray' object has no attribute 'predict'
python
scikit-learn
Tensorflow Train Cnn on Multi-Gpu With Dataset api Does Not work
python
neural-network
deep-learning
tensorflow
sklearn SVM really slow
python
classification
scikit-learn
svm
What is LSTM, BiLSTM and when to use it?
machine-learning
deep-learning
data-mining
What are possible approaches to deal with unseparable data even after PCA?
classification
dataset
feature-selection
prediction
pca
Error when checking : expected dense_1_input to have shape (None, 5) but got array with shape (200, 1)
keras
A/B testing: How to calculate p-value on post test segments?
statistics
ab-test
experiments
LVQ (Learning vector quantization) not starting on MNIST dataset?
image-classification
matlab
mnist
How to approach creating a question answering bot on a specific domain?
machine-learning
neural-network
nlp
lstm
Time series prediction without sliding window
python
keras
rnn