Machine Learning

Overview

Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.

Price (*ask for discount) 400 USD
Access Period 180 days

Prerequisite list

  • Familiarity with the fundamentals of Python programming.
  • Basic high school mathematics.
  • Understanding of the basics of statistics

Audience list

  • Developers aspiring to be a data scientist or machine learning engineer
  • Analytics managers who are leading a team of analysts
  • Business analysts who want to understand data science techniques
  • Information architects who want to gain expertise in machine learning algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insights

What is included

  • Practical application of 15+ Machine Learning algorithms
  • Master the concepts of Supervised and Unsupervised Learning.
  • Course completion certificate.

Certification Info

  • How To Earn?  . Complete 85% of the course. Complete 1 project.
  • How To Maintain?  N/A

Certification Exam Format

  • No Exam

Retake policy

  • N/A.

Enrollment Policy

  • You should pay the online course fee then the online course access will be granted to you within 1 week after receiving payment.
  • Course fee payment is not refundable.

Frequently Asked Questions

Course Outline

Techniques of Machine Learning
  • Techniques of Machine Learning
Data Preprocessing
  • Data Preprocessing
Math Refresher
  • Math Refresher
Regression
  • Regression
Classification
  • Classification
Unsupervised learning - Clustering
  • Unsupervised learning - Clustering
Introduction to Deep Learning
  • Introduction to Deep Learning