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Recent questions without answers
1
1 vote
0
0 answers
981
981 views
Please explain Linear Regression with an example?
paper
160
points
2
2
2
asked
Oct 11, 2018
Data Science Interview Questions
data-science
linear-regression
interview
+
–
1
1 vote
0
0 answers
405
405 views
What is the difference between Combination and Permutation?
As an example:Calculate the possible permutations for a rubik's cube?Why is it not, calculate the possible combinations for a rubik's cube?
dervinis
130
points
1
1
asked
Oct 11, 2018
general
statistics
permutation
combination
+
–
1
1 vote
0
0 answers
473
473 views
How to return the outliers by having a list of numbers ?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Data Science Interview Questions
data-science
statistics
outlier
boxplot
percentile
+
–
1
1 vote
0
0 answers
387
387 views
Why do we need big data to train Deep Neural Networks?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Machine Learning Interview Questions
deep-learning
machine-learning
big-data
+
–
1
1 vote
0
0 answers
450
450 views
Why might it be preferable to include fewer features (predictors) over many?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Machine Learning Interview Questions
machine-learning
feature-engineering
feature-selection
feature-reduction
overfitting
+
–
1
1 vote
0
0 answers
523
523 views
Can you explain the percentiles and quartiles and their applications?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Data Science Interview Questions
data-science
statistics
percentile
quantile
+
–
1
1 vote
0
0 answers
1.1k
1.1k views
What are Training set, Validation set, Test set, and Gold set in supervised and unsupervised machine learning?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Machine Learning Interview Questions
machine-learning
classification
training-set
test-set
validation-set
gold-set
+
–
1
1 vote
0
0 answers
525
525 views
What is the goal of Feature Extraction and Feature Engineering in machine learning?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Machine Learning Interview Questions
machine-learning
feature-extraction
feature-engineering
+
–
1
1 vote
0
0 answers
442
442 views
What are the most important machine learning algorithms?
interview
1.4k
points
13
19
23
asked
Oct 8, 2018
Machine Learning Interview Questions
machine-learning
classification
algorithm
+
–
1
1 vote
0
0 answers
616
616 views
How do we tie into Microsoft's Kinect Hardware for application development?
At the Gym i go to, they have a body scanning set up that lets you know information like BMR, weight etc. This setup includes a spinning platform that im assuming calcula...
arruda
200
points
2
2
3
asked
Oct 4, 2018
Human Computer Interaction
hci
kinect
+
–
3
3 votes
0
0 answers
550
550 views
Is Naive Bayes a good classifier?
Here is an example of training a model using the Naïve Bayes classifier on the Glass dataset(from UCI). The objective is to predict the type of glass based on the 9 param...
haroldj
150
points
1
1
2
asked
Oct 3, 2018
Machine Learning
machine-learning
classification
naive-bayes
+
–
0
0 votes
0
0 answers
486
486 views
How to use Ask Data Science! ?
This post is for providing the best practices for using Ask Data Science!
tofighi
116k
points
74
79
101
asked
Oct 3, 2018
General
ask-data-science
tutorial
+
–
2
2 votes
0
0 answers
602
602 views
Explain Cross-validation and why should we use it in Machine Learning?
datascience
1.1k
points
9
11
19
asked
Sep 28, 2018
Machine Learning Interview Questions
machine-learning
cross-validation
overfitting
classification
+
–
2
2 votes
0
0 answers
963
963 views
What is the difference between overfitting and underfitting in Machine Learning?
datascience
1.1k
points
9
11
19
asked
Sep 28, 2018
Machine Learning Interview Questions
machine-learning
overfitting
underfitting
+
–
0
0 votes
0
0 answers
488
488 views
What are the most important things to consider when making you website usable to people who do not speak English well?
JackHCI
120
points
1
1
asked
Sep 27, 2018
Human Computer Interaction
hci
website
design
+
–
4
4 votes
0
0 answers
568
568 views
What is Bayes’ Theorem? How is it useful in machine learning? Where should we use it?
datascience
1.1k
points
9
11
19
asked
Sep 27, 2018
Machine Learning Interview Questions
bayes-theorem
machine-learning
classification
naiver
naive-bayes
+
–
3
3 votes
0
0 answers
490
490 views
How does an ROC curve works?
datascience
1.1k
points
9
11
19
asked
Sep 27, 2018
Machine Learning Interview Questions
roc
machine-learning
+
–
3
3 votes
0
0 answers
599
599 views
How is KNN different from k-means clustering?
datascience
1.1k
points
9
11
19
asked
Sep 27, 2018
Machine Learning Interview Questions
knn
k-means
+
–
1
1 vote
0
0 answers
377
377 views
Is there detailed instruction in the industry about how different types of "Word Shape" elements affect recognition?
HCIlooksFun
400
points
3
5
9
asked
Sep 17, 2018
Human Computer Interaction
+
–
2
2 votes
0
0 answers
475
475 views
What are the best frameworks for web development in 2018?
There are many web development frameworks out there, which one do you think is more promising for future careers?
tofighi
116k
points
74
79
101
asked
Sep 8, 2018
Web Development
web-develompen
web-framework
+
–
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