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Sampling
In Machine Learning we often need to work with very large datasets, which sometimes may be computationally expensive. During these times, it makes more sense to create a smaller sample of this large…
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What do you do when you have a large dataset and your algorithms take forever to run? Or let's say if you want to find out the total number of people drinking Starbucks in a day? Are you going to…
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Sampling helps a lot in research. It is one of the most important factors which determines the accuracy of your research/survey result. If anything goes wrong with your sample then it will be…
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Sample and Population. | A guide on how to sample vast data sets. Optimum sample from the population leads a data scientist in the right direction.
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For this blog, we will be going through some basic concepts of population and sample and sampling. :) At the beginning of every analysis there is data. Sometime we get the data from some reliable…
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Understanding Multivariate Sampling Techniques in Data Science Photo by Kumpan Electric on Unsplash I’m going to bring you now, in this article, some fundamentals of multivariate analysis. Later on, ...
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Mastering the art: Tips and tricks for successful sampling Photo by Natalia Gusakova on Unsplash Sampling is the process of selecting a subset(sample) from the population. It is done to get informati...
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Why a Data Scientist has to know about survey methodology?
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One of the biggest problems we face in data science is dealing with large amount of data on limited machines. So, how to deal with this problem? Well, there’s one such method to deal with this…
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Automation and Sampling: A quick look at why you should strive to automate your ETL and then have proper sampling hygiene for your data.
Read more at Towards Data Science | Find similar documentsSampling Methods in R
Let’s say that we have a population of size N, a sample is nothing but a subset of data taken from that population. The process of selecting a sample is known as sampling. In this case, we might have…...
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Sampling: Methodologies, Implementation and Comparison Continue reading on Towards Data Science
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