Distribution in statistics
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.
Linear and Logistic regression are usually the first algorithms people learn in data science.
There are multiple Python libraries that are especially beneficial for Machine Learning. Our experts will guide you why use Python in machine learning.
Simple & Multiple Linear Regression
Simple and Multiple Linear Regression in Python explained with help of practical examples. First we start with simple linear regression analysis
The Basics of Statistics for Data Science By Statisticians
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.
Metadata & Governance Blog Archives | InfoLibrarian™ Services
InfoLibrarian™ Services big data, data science, metadata management & data governance
Choosing a Statistical Test for Your IB Biology IA
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.
Artificial Intelligence – Techniques & Use Cases
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…
Reinforcement Learning - Machine Learning & Data Science Glossary?
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