Bindeshwar S. Kushwaha

Correlation Correlation measures  the relation between two variables  that how they are related.  And is denoted by r and  ρ moreover, the correlation quantifies the level of relationship between -1 to +1. If the value of correlation  r is -1 then there is perfect negative relationship. If value of  correlation is  +1  then there is […]

Standard Deviation Variance and Covariance Standard deviation, variance and covariance have very important applications in machine learning and data science. Further, they are closely related to each other. In feature reduction techniques, such as PCA ( Principle Component Analysis) features are selected based on  high variance.  In this post I will explain standard deviation, variance

Skewness and Kurtosis- Introduction- Skewness and Kurtosis are very important  concepts in statistics and have several applications.  In addition, they characterize the nature of data distribution which make data analysis easier. Moreover, I will separately discuss skewness and kurtosis in further sections. Skewness- Skewness  refers the measurement of lack of symmetry in data distribution. Measures

Measures of central tendency in statistics  refers to a value which characterizes all the the data.  Mean, median and mode are very important measures of central tendency. Measures of central tendency is very fundamental in data science,  machine learning and data analytics areas. Moreover, if you want to make a carrier in data analytics you

Frequency distribution  in statistics refers to a graph or table which depicts or illustrate the occurrences of values. Frequency distribution is very important in study of statistics, machine learning and data science area.  To  understand frequency distribution you have to understand organization of data. Basically, there are three types of data organization techniques. 1- Individual

UNIVERSITY GRANTS COMMISSION NET BUREAU NET SYLLABUS Subject : COMPUTER SCIENCE AND APPLICATIONS Code No.:(87) Unit – 1 : Discrete Structures and Optimization Mathematical Logic: Propositional and Predicate Logic, Propositional Equivalences, Normal Forms, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference. Sets and Relations: Set Operations, Representation and Properties of Relations, Equivalence Relations, Partially Ordering.

CSIR-UGC National Eligibility Test (NET) for Junior Research Fellowship and Lecturer-ship COMMON SYLLABUS FOR PART ‘B’ AND ‘C’ MATHEMATICAL SCIENCES UNIT –  1 Analysis: Elementary set theory, finite, countable and uncountable sets, Real number system as a complete ordered field, Archimedean property, supremum, infimum. Sequences and series, convergence, limsup, liminf. Bolzano Weierstrass theorem, Heine Borel

Vector Space- A set V is called vector space on which two operations are defined. 1- Vector Addition 2- Scalar Multiplication Further, vector addition must follow the following properties and laws for vector addition. 1- Closure Property If u and v are two vectors in V then u+v must be in V. 2- Commutative Law