Step 1: Prepare your machine learning modelThe first step is to prepare your machine learning model. This includes writing the code to load and train the model, as well as…
Amazon SageMaker is a cloud-based platform for building, training, and deploying machine learning models. It is a fully managed service that provides developers and data scientists with the tools they…
Before jumping into the field of data science, it's important to understand the following key concepts and skills: Programming: Data scientists use programming languages such as Python and R to…
Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are all popular cloud computing platforms that offer a wide range of services for data science. Each platform provides…
What is Amazon S3? Amazon S3 (Simple Storage Service) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means, S3 enables customers to store…
Azure Cognitive Services are cloud-based services that encapsulate AI capabilities. It is a bundle of many individual services to develop sophisticated and intelligent AI Applications. Cognitive services offer a wide range…