Buy Now Free

Building Recommendation System Using MXNET on AWS Sagemaker
  • Level Expert
  • المدة 3 ساعات hours
  • Offered by

عن

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project for training the model, and if you don't have access to this instance type, please contact AWS support and request access. In this 2-hour long project-based course, you will how to train and deploy a Recommendation System using AWS Sagemaker. We will go through the detailed step by step process of training a recommendation system on the Amazon's Electronics dataset. We will be using a Notebook Instance to build our training model. You will learn how to use Apache's MXNET Deep Learning Model on the AWS Sagemaker platform. Since this is a practical, project-based course, we will not dive in the theory behind recommendation systems, but will focus purely on training and deploying a model with AWS Sagemaker. You will also need to have some experience with Amazon Web Services (AWS) and knowledge of how deep learning frameworks work. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Auto Summary

Dive into the dynamic world of recommendation systems with the "Building Recommendation System Using MXNET on AWS Sagemaker" course, offered by Coursera. Designed for IT and Computer Science enthusiasts, this intermediate-level course provides a comprehensive guide to developing advanced recommendation algorithms using MXNET on AWS Sagemaker. Led by expert instructors, this 180-minute course equips you with practical skills in leveraging AWS's powerful machine learning platform. Whether you're looking to enhance your professional skill set or upgrade your technical knowledge, this course offers valuable insights into creating tailored recommendation systems that can be applied across various industries. Best of all, this course is available for free, making it an accessible opportunity for those with an AWS account. Ideal for intermediate learners, this course promises to elevate your expertise and open new doors in the field of data science and machine learning. Join now and start building smarter, more efficient recommendation systems today!