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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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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.

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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

Read more at Towards Data Science | Find similar documents#### A Peek at Data Sampling Methods

Sampling Bias is one of the most common types of biases observed in real-world scenarios. It occurs when the data used to train a model doesn’t reflect the distribution of the samples that the model…

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In most studies, it is pretty hard (or sometimes impossible) to analyse a whole population, so researchers use samples instead. In statistics, survey sampling is the process by which we get a sample…

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Implementing inverse transform sampling, rejection sampling and importance sampling in Python Photo by Edge2Edge Media on Unsplash In this post we’ll discuss how to sample from a probability distribu...

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Introduction to uniform sampling algorithms for streaming items Photo by dylan nolte on Unsplash A sampling task Bob works in quality control at an electronic components factory. Among his tasks, eve...

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Sampling is a technique of selecting individual members or a subset of the population to make statistical inferences from them and estimate the characteristics of the whole population. We take a…

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Sampling means selecting a group from population from which we will collect data for research. Techniques-Simple Random, Stratified, Cluster, Systematic, Convenience

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What is sampling? What are the different types of sampling? This article looks at broadly 2 types of sampling — probability and non-probability. Here’s a scenario I’m sure you are familiar with. You…

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Sampling is the process of selecting a subset(a predetermined number of observations) from a larger population. It’s a pretty common technique wherein, we run experiments and draw conclusions about…

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Click here to run this notebook on Colab or click here to download it . In the previous chapter we used resampling to compute standard errors and confidence intervals, which quantify the variability ...

Read more at Elements of Data Science | Find similar documents#### A Gentle Introduction to Statistical Sampling and Resampling

Last Updated on August 8, 2019 Data is the currency of applied machine learning. Therefore, it is important that it is both collected and used effectively. Data sampling refers to statistical methods ...

Read more at Machine Learning Mastery | Find similar documents#### An Overview of Sampling Techniques

Most of the time when we want to conduct research about a group of people (or in general, a population), it might result ineffective — or even impossible- to collect data from every person in the…

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A ready-to-run code with different data sampling techniques to create a random and representative sample in Python Continue reading on Towards Data Science

Read more at Towards Data Science | Find similar documents#### How to create a sampling plan for your data project

When simple random sampling is not that simple Continue reading on Towards Data Science

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