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

Ubuntu only provides an iso image of the operating system and you need to make a pen drive bootable to install ubuntu. I will show  step-by-step how to make a pen drive bootable using  USB Installer. Step-1 Download USB installer  using this link  https://universal-usb-installer.en.uptodown.com/windows and keep in pendrive. Step-2 Download Ubuntu operating system  using this

Mathematics is an essential part for machine learning  without maths it is hard to get into core concepts. In addition, machine learning uses concepts from different branches, however, these branch of mathematics are the backbone of the machine learning. 1- Linear Algebra Matrix, Vector Spaces and Linear Transformations, Eigen Values and Eigen Vectors ( Principle

For machine learning and data science projects data sets are necessary to train and test model. Furthermore, several datasets repository is available on the Internet. Some of them are freely available some need to pay money. Here I will list some popular datasets resources over the Internet for machine learning projects.   1-Kaggle Datasets Repository