One Shot Learning and Other Strategies for Re

*Summary:**Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. Here are five…*

How to analyze spatial data stored in a non-…
Hello DSC folks,
I have some survey data that I'm trying to use for mapping, but I can't figure out a good way to actually map responses without losing a lot of data I would like to preserve.
We have…
Discussion
How to analyze spatial data stored in a non-…
1 Like
Handling different length string features a…
Hi,
I am currently working on a problem where the dataset contains 200+ features (Let's call them the code features, e.g no.of.loops, memoryInst, loadInst, etc and Flags that are used to compile co…
Discussion
Handling different length string features a…
2 Likes
New to Data Science
Hi Everybody,
I have been studying data Science from last 1.5 years and so far i have complete Data Science in R and working on python.
I just anyone to answer me few questions, its just i cant fin…
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New to Data Science
1 Like

Free Book: Statistics -- New Foundations, Too

This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data…

Blog Free Book: Statistics -- New Foundations, Too 7 Likes The Lifecycle of DataThe lifecycle of data travels through six phases:…

Blog The Lifecycle of Data 5 Likes
What Negative Kurtosis implies
Hi...I am new to data science, I have a dataset and when I am computing kurtosis of the Target Variable I am getting the value as -0.94. What I understand is a high kurtosis implies a Heavy tail of t…
Discussion
What Negative Kurtosis implies
1 Like
Restrictions for split-half testing ?
Hello everyone,
I am a psychology student about to write my bachelor thesis for which I need to test some questionnaires for split-half reliability (plus Cronbach's Alpha and retest relability). In…
Discussion
Restrictions for split-half testing ?
1 Like
Minimum number of observations per time slic…
Is there a minimum number of observations per time slice needed? What happens to the method as the number approaches 1?
Discussion
Minimum number of observations per time slic…
1 Like
Difference between Machine Learning, Data Sci

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT,…

Blog Difference between Machine Learning, Data Sci 108 Likes
Visualisation of train and test error
I am working on Digit Recogniser and after training the fully connected model with 3 CNN layers and 2 dense network layers with rely and softmax activation functions, getting below curve.Screen%20Sh…
Discussion
Visualisation of train and test error
2 Likes
The Math Required for Machine Learning

*This article was written by Harsh Sikka. This version is a summary of the original article.…*

*Summary:** Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we…*

From academia to data science in healthcare:…
I’m transitioning from almost a decade of academic bench research (B.S. in neuroscience), publications, and advanced statistical models (SPSS, SAS proc mixed). My goal is to do scientific analyses in…
Discussion
From academia to data science in healthcare:…
2 Likes
How to diagnose if there is a group problem?
How to diagnose if there is a group problem?
Hi,
imagine Internet network. As a user you have a router, that is connected to some internet service provider node. Usually, more than one router (user)…
Discussion
How to diagnose if there is a group problem?
1 Like
Can i use regression for multi ( Scenario) i…
use case :
1 . A B C D ------ > Y
A F G H ------> Y
A B F C ------> Y
B C F I --------> Y
But all should be done in single model by any means…
Discussion
Can i use regression for multi ( Scenario) i…
1 Like

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