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Complete Guide to Moment Generating Functions in Statistics For Data Science
How to find Moment generating functions explained with its applications. In this article learn what is moment-generating function.
Aashi 11 Mar, 2024
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Data Types in Statistics for Data Science
In this article, we will discuss the different data types in statistics you need to know. Learn about Qualitative vs Quantitative data. Start Reading Now!
Aashi 16 Apr, 2024
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Complete Guide to Chebyshev’s Inequality and WLLN in Statistics for Data Science
Chebyshev’s inequality and Weak law of large numbers (WLNN) in statistics are very important concepts that are heavily used in DS.
Aashi 08 Jun, 2021
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Parametric and Non-Parametric Tests: The Complete Guide
Learn about parametric and non-parametric tests, their importance, differences, and various types like T-Test, Z-Test, ANOVA, Chi-Square Test.
Aashi 04 Apr, 2025
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How to Learn Mathematics For Machine Learning?
Explore the correlation between mathematics and machine learning. Learn the fundamental math concepts & their applications in DS, ML, and AI.
Ananya Chakraborty 16 Jun, 2025
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Complete Guide to Point Estimators in Statistics for Data Science
Post Estimators are important concepts of the Estimation Theory. Learn about properties of point estimators and its importantance
Aashi 08 Jun, 2021
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Normal Distribution : An Ultimate Guide
Normal distribution is also known as Gaussian distribution. In this article, we will explore all the concepts about Normal Distribution
Aashi 08 Jun, 2021
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Bayesian Decision Theory – Discriminant Functions For Normal Density(Part 4)
In the final article, we will look at the discriminant functions for normal density under various considerations in Bayesian Decision Theory.
Chirag Goyal 08 Jun, 2021
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Bayesian Decision Theory – Discriminant Functions and Normal Density(Part 3)
in this article, we will cover some new concepts including Discriminant Functions and Normal Density in Bayesian Decision Theory.
Chirag Goyal 31 May, 2021
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Statistical Modelling and Identifiability of Parameters
statistical modelling is the process of using observable data to capture the truth. It's goal is to understand as much reality as possible.
Naman 27 May, 2021
