courseraАнализ данных

ML Algorithms

Курс от Whizlabs

Начальный≈ 4.8 чАнглийский

О курсе

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

Навыки, которые вы освоите

Regression Analysis Unsupervised Learning Reinforcement Learning Time Series Analysis and Forecasting Algorithms Supervised Learning Machine Learning Algorithms Classification Algorithms Machine Learning Statistical Machine Learning Image Analysis Natural Language Processing Predictive Modeling Text Mining Data Mining Computer Vision Forecasting Artificial Intelligence and Machine Learning (AI/ML)Applied Machine Learning

Программа курса

2 модулей · 31 учебных материалов

01ML Algorithms- Part 118 материалов

ML Algorithms- PartA 1

Course OutlineЧтение Welcome to the Course Чтение ML Algorithms- Part 1 OverviewЧтение Introduction to Training and Evaluating the ModelВидео

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Преподаватель курса