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Linear Algebra for Machine Learning

  • Learn the essential mathematics for data science and machine learning.
  • Grasp the Linear algebra intution essential for ML algorithms
  • Implement these ideas in code, not just on pen and paper.

Created by Selva Prabhakaran

  • English

  • English captions

Validity Period: 365 days

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Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Mathematical intuition
required for DS and ML

02

Dot prod,inner prod,outer
prod, marix multiplication

03

Vectors, matrices and
higher-dimensional tensors

04

Matrix inverse,transpose
determinant,trace

05

Eigenvalues and
Eigenvectors

06

Eigen Decomposition,SVD
and PCA

07

Applying linear algebra in
python

Course Curriculum

4 Modules      |    20 Sessions     |    1 hour 52 min Total Time  

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Introduction

Sessions: 10 | Time: 39 min expand_more

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Matrices

Sessions: 3 | Time: 23 min expand_more

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Essential Equations

Sessions: 3 | Time: 11 min expand_more

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Towards SVD and PCA

Sessions: 4 | Time: 39 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

Validity Period: 365 days

Enroll Free

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts