Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers on related concepts - part 02

 

Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers

 

Infographic Note on Numpy Arrays in Python with Questions and Answers on procedure to handle random numbers in an Array or Matrix Data Structure

 

Discussed the following questions in the above post :

Q1)If a programmer does not know the last number or position , then how can a programmer show the last position element of an array in Numpy ?

Q2) Using Slicing mechanism , retrieve the first two elements of the numpy array ?

Q3) Using Slicing mechanism , retrieve the last two elements of the numpy array ?

Infographic Note on Numpy Arrays in Python with Questions and Answers on Array and Matrix Creation and Data Retrieval

 

Q1) Print range between 1 to 20 and show 5 integer random numbers

Q2) Print range between 1 to 100 and show 10 random integer numbers

Q3) Print range between 1 to 1000 and show 20 random integer numbers

Q4) Print a matrix with range between random number - 5 rows and 5 cols integer random numbers

Q5) Print a matrix range between random number - 10 rows and 6 cols integer random numbers in a             matrix format

Representation of a Normal Hypothesis Equation for Regressin taking a matrix and inverse of a matrix and a multiplicable vector - short note

 

Commutative property on Matrices is not applicable

 

Notes on Matrices , Properties of Matrices , Inverse Matrix and Transpose of a Matrix , Regression , Scenarios on Regression , Representation of Hypothesis Equation , Gradient Descent , Cost Function