Linear Algebra for Data Science & Machine Learning - 2020
Duration: 1h25m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 216 MB
Genre: eLearning | Language: English
Learn Basics of Linear Algebra (Mathematics) for Artificial Intelligence, Machine Learning and Data Science
What you'll learn
Basics of Linear Algebra for Machine Learning & Data Science
Scalar & Vector Arithmetic
Linear Equations
Matrices - Tensors
Requirements
No prior knowledge is required
Aim of Learning Machine Learning and Data Science
Description
LINEAR ALGEBRA for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTION
Why Learn Linear Algebra?
Sets
Linear Equation Systems
What is a Scalar?
Scalar & Vector Arithmetic
Vector Addition and Subtraction
Scalar Multiplication of Vectors
Dot & Cross Product
Dot Product Linear Algebra Style
Vector Subspace
Linear Combinations of Vectors
Span
Linear Dependence and Independence
Solving Systems of linear equations
Linear Equation Example
Generating Set and Basis
Linear Mapping/Linear Transformation
Additivity
Homogeneity
Kernel
Matrices - Tensors
Matrix Multiplication
Range of a Matrix
Kernel of a Matrix
Determinant of a Matrix
Identity , Transpose and Inverse Matrix
Eigenvector and Eigenvalue
WHY LINEAR ALGEBRA?
Linear algebra is absolutely key to understanding the calculus and statistics you need in machine learning and data science.
If you can understand machine learning methods at the level of vectors and matrices you will improve your intuition for how and when they work.
A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results.
THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE
In-class support: We don't just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.
WHO WE ARE: DATAI TEAM ACADEMY
DATAI TEAM is a team of Python Programmers and Data Scientists.
Let's register for the course and start to Linear Algebra for Data Science & Machine Learning.
Who this course is for:
Those who want to specialize in Machine Learning but not know linear algebra
Those who want to learn a linear algebra but cannot decide where to start
Those who want to start and continue their education or career in data science, machine learning or artificial intelligence
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