Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence
What you’ll learn:
Learn the foundational concepts of Linear Algebra
Learn the foundational concepts of statistics
Learn the foundational concepts of Geometry
Learn the foundational concepts of Calculus
Application of key mathematical topics
Requirements
Basic knowledge of Math will be needed to finish the course
Description
In this course, we will learn Math essentials for Data science,Data analysis and Machine Learning. We will also discuss the importance of Linear Algebra,Statistics and Probability,Calculus and Geometry in these technological areas. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level. The lessons of the course is also beneficial for the students of Computer science /artificial intelligence and those learning Python programming.
Here, this course covers the following areas :
Importance of Linear Algebra
Types of Matrices
Addition of Matrices and its Properties
Matrix multiplication and its Properties
Properties of Transpose of Matrices
Hermitian and Skew Hermitian Matrices
Determinants ; Introduction
Minors and Co factors in a Determinant
Properties of Determinants
Rank of a Matrix
Echelon form and its Properties
Eigenvalues and Eigenvectors
Importance of Statistics for Data Science
Statistics : An Introduction
Statistical Data and its measurement scales
Classification of Data
Importance of Calculus for Data science
Average and Marginal Concepts
Concepts of Maxima and Minima
Elasticity : Price elasticity of supply and demand
Importance of Euclidean Geometry
Set Theory : Definition and its representation
Type of Sets
Subset,Power set and Universal set
Each of the above topics has a simple explanation of concepts and supported by selected e x a mples.
I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .
You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.
Waiting for you inside the course!
So hurry up and Join now !!
Who this course is for
Students of engineering, data science, machine learning and python programming
mega.nz
mega.nz
Password: XDJ
to buy any other course that you want just for 15$ contact me here :
https://t.me/lumin4ry1
we do not give the course first , but we can show that we have it .
What you’ll learn:
Learn the foundational concepts of Linear Algebra
Learn the foundational concepts of statistics
Learn the foundational concepts of Geometry
Learn the foundational concepts of Calculus
Application of key mathematical topics
Requirements
Basic knowledge of Math will be needed to finish the course
Description
In this course, we will learn Math essentials for Data science,Data analysis and Machine Learning. We will also discuss the importance of Linear Algebra,Statistics and Probability,Calculus and Geometry in these technological areas. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level. The lessons of the course is also beneficial for the students of Computer science /artificial intelligence and those learning Python programming.
Here, this course covers the following areas :
Importance of Linear Algebra
Types of Matrices
Addition of Matrices and its Properties
Matrix multiplication and its Properties
Properties of Transpose of Matrices
Hermitian and Skew Hermitian Matrices
Determinants ; Introduction
Minors and Co factors in a Determinant
Properties of Determinants
Rank of a Matrix
Echelon form and its Properties
Eigenvalues and Eigenvectors
Importance of Statistics for Data Science
Statistics : An Introduction
Statistical Data and its measurement scales
Classification of Data
Importance of Calculus for Data science
Average and Marginal Concepts
Concepts of Maxima and Minima
Elasticity : Price elasticity of supply and demand
Importance of Euclidean Geometry
Set Theory : Definition and its representation
Type of Sets
Subset,Power set and Universal set
Each of the above topics has a simple explanation of concepts and supported by selected e x a mples.
I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .
You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.
Waiting for you inside the course!
So hurry up and Join now !!
Who this course is for
Students of engineering, data science, machine learning and python programming
14 GB file on MEGA
10.41 GB file on MEGA
to buy any other course that you want just for 15$ contact me here :
https://t.me/lumin4ry1
we do not give the course first , but we can show that we have it .
