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
Text analysis algorithms - lab
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Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Supervised Learning, Forecasting, Regression Analysis, AWS SageMaker, Classification And Regression Tree (CART), Machine Learning, Image Analysis, Reinforcement Learning, Unsupervised Learning, Text Mining, Machine Learning Algorithms
From the lesson
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