Final Exam: Introduction to Math

Math    |    Beginner
• 1 video | 32s
• Includes Assessment
Rating 3.2 of 9 users (9)
Final Exam: Introduction to Math will test your knowledge and application of the topics presented throughout the Introduction to Math track of the Skillsoft Aspire Essential Math for Data Science Journey.

WHAT YOU WILL LEARN

• Perform union and intersection operations on sets
recognize the differences between discrete and continuous data and outline topics in discrete mathematics
create and work with sets in python, perform checks for subsets and supersets
create and work with sets in python
model entities and relationships in the real-world using graphs
recognize the different types of graphs, their characteristics, and use cases
associate attributes with the graph, individual nodes, and individual edges
compute the shortest path and a minimum spanning tree for a graph
compute the minimum spanning tree and the shortest path for a graph
perform topological sorting in a directed acyclic graph
create directed graphs using networkx
recall the assumptions and benefits of integer optimization models
model problems using objectives, decision variables, and constraints
solve the linear programming problem graphically
determine the optimal solution from feasible solutions
list the steps in the simplex method to solve linear programming problems
solve minimization problems using the scipy library
solve linear programming problems using the pulp library
recognize the assumptions and benefits of integer optimization models
use lp relaxation to find a starting point for the integer programming solution
formulate the integer programming model for becca luxury goods
solve the manufacturing and distribution problem using pulp
formulate the integer programming model for a capital budgeting problem
gain a basic understanding of calculus and describe differentiation and derivatives
describe differentiation and derivatives
use built-in functions to compute derivatives
outline how to compute the slope at a point by exploring the geometric definition of derivatives
use derivatives in real-world scenarios
outline how partial derivatives work
compute derivatives of linearly changing functions using built-in functions
• outline derivatives and slope
create partial derivatives with multiple independent variables
compute the velocity of a moving particle
define the integral as the limit of a sum and as the area under a curve
differentiate between definite and indefinite integrals
compute integrals of quadratic and polynomial functions
compute integrals from first principles
frame integration as inverse operations
create a matrix and perform matrix operations
compute determinants and transpose matrices
perform matrix multiplication
recognize properties of matrices
identify and work with diagonal and zero matrices
compute the inverse of an invertible matrix
create matrices using scipy
mathematically define matrix decomposition
recognize several types of matrix operations
perform lu decomposition
mathematically define qr and cholesky decomposition
perform qr decomposition
install libraries in python
mathematically define eigenvectors and eigen values
explore properties of eigenvalues and eigenvectors
compute eigenvalues and eigenvectors of a matrix
derive the characteristic equation
differentiate between eigen decomposition and singular value decomposition (svd)
import an image to perform svd
perform singular value decomposition (svd) on a matrix
simplify an image with svd

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Rating 4.5 of 2 users (2)
Rating 5.0 of 1 users (1)
Rating 4.3 of 3 users (3)

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Rating 4.5 of 25 users (25)
Rating 4.4 of 160 users (160)
Rating 4.2 of 1601 users (1601)