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Introduction:

In statistics we have various types of test to validate the a single group or multiple groups.Here we can say a group as a feature in the data set.These features can be either categorical or numerical features.

With the help of T-test and Chi-square test we can conclude that if…

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Deep Learning :

According to given definition.

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network

Categories in Deep Learning:

Deep learning can be broadly divided into three major categories.

image:Voice of Nigeria

Overview :

There are various distributions types used in machine learning to describe the distribution of data in a population or sample of data set.In machine learning it is used to visualize the data distribution and outliers detection in data set.

Topics covered

  1. Gaussian Distribution
  2. Z-Distribution
  3. T- Distribution

Normal Distribution or Gaussian Distribution or Bell Curve:

Discovered by Carl Friedrich Gauss, Gaussian…

Anjani Kumar

Data Science ,ML & NLP Enthusiastic

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