# data

## Collection by Mike pang • Last updated 3 days ago

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Title Slide of Stats concept map (1)

Because of various types of distribution in statistics, it might be confusing for you. Explore this blog to get the details of the statistics distribution.

There are multiple Python libraries that are especially beneficial for Machine Learning. Our experts will guide you why use Python in machine learning.

Simple and Multiple Linear Regression in Python explained with help of practical examples. First we start with simple linear regression analysis

Do you want to start with the data science, but don't know how to start? If yes, then here are some basics of statistics for data science to start with.

A blog will help you to learn the concept behind all the statistics and data analysis. Get Self learning about assignment papers

InfoLibrarian™ Services big data, data science, metadata management & data governance

Researchers are using Bayesian statistics to tackle problems of formidable complexity, from narrowing down the age of the universe to hunting for MH370.

One small caveat: in broader mathematics, "number of bacterial colonies" would be treated as a **discrete variable**, which means the variable is numeric but...

Statistics is referred to as a methodology developed by scientists and mathematicians for collecting, organizing and analyzing data and drawing conclusions from there. More precisely, the statistical analysis gives significance to insignificant data or numbers.

A blog will help you to learn the concept behind all the statistics and data analysis. Get Self learning about assignment papers

The artificial intelligence (AI) market is estimated to grow from \$0.42bn in 2014 to \$5bn by 2020, at a CAGR of 54%. In another report, BofA Merrill reckons the market will blossom to \$153bn over the next five years - \$70bn for artificial intelligence-based systems, and \$83bn for robots. That compares to roughly \$58bn in…

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