Data

Data Visualisations can play a number of different roles within Machine Learning projects. They can be a big part of the Data Exploration process to help find insights within the data, understand its structure and see any pattern. This is part of a blog series giving a high level overview of the different services examined on the AWS Machine Learning Specialist exam.

This blog explores the different Data Preparation services AWS has to offer. This is part of a blog series giving a high level overview of the different services examined on the AWS Machine Learning Specialist exam.

When working on large Machine Learning projects, you need data. However, raw data is rarely in the ideal format for training models and so some form of data preparation is typically needed. This is part of a blog series giving a high level overview of the different services examined on the AWS Machine Learning Specialist exam.

When working with machine learning you will need access to data and within AWS there are many different ways to store that data. Choosing the right storage method will depend on the type of the data you are storing, its volume and how quickly you need to access it! This is part of a blog series giving a high level overview of the different services examined on the AWS Machine Learning Specialist exam.

Data is all around us and is an essential part of Machine Learning. This is part of a blog series giving a high level overview of the different services examined on the AWS Machine Learning Specialist exam.

This is part of a blog series giving a high level overview of the different services examined on the AWS Solution Architect Associate exam. This blog covers AWS Data Transfer

Recently, I have been wanting to up my game when it comes to analysing data — so I decided to use this as an opportunity to take AWS Athena for a whirl and see what it’s capable of.