Foundations of Machine Learning

  • Get complete overview of Machine Learning space. Understand its applications
    and limitations, and how projects are undertaken. Useful for data science beginners
    and business managers who want to have a holistic understanding of ML/AI

starstarstarstarstar_half 4.7 (21 ratings)    279 Students

Created by Selva Prabhakaran

  • Last updated 08/2021

  • English

  • English captions

What you will learn

01

Understand what is
Machine Learning

02

Understand real world applications of ML

03

Know commercially viable ML projects in each function

04

Get familiar with
ML terminologies

05

Get a sense of how ML model is built and evaluated

06

Understand different
types of ML problems

07

Gain knowledge of popular ML algorithms

Course Curriculum

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

Reviews