ML Algorithms (Coursera)

This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.

Module 1: ML Algorithms- Part 1

Module 2: ML Algorithms- Part 2

Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, learners will be able to :

- Determine algorithm concepts in ML

- Design Regression algorithms and Classification based algorithms

- Examine Reinforcement learning algorithms and Forecasting algorithms

Course 4 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization.

What You Will Learn

- Determine algorithm concepts in ML

- Design Regression algorithms and Classification based algorithms

- Examine Reinforcement learning algorithms and Forecasting algorithms

Syllabus

WEEK 1

ML Algorithms- Part 1

Welcome to week 1 ofML Algorithms Course. This week, we'll describe algorithm concepts in Machine Learning. We'll demonstrate working of Regression algorithms ad Clustering algorithms. Additonally, we'll also demonstrate working of Classification based algorithms

WEEK 2

ML Algorithms- Part 2

Welcome to Week 2 of ML Algorithm course. This week, we'll describe Image analysis algirithms with demonstration on Text analysis algorithms. By the end of this week, we'll be able to describe Reinforcement learning algorithms and Forecasting algorithms.