ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. 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
Overview
Syllabus
- 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
- 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.
Taught by
Whizlabs Instructor
