AI & Analytics Engine Tutorial 1/4: Creating Your First Project

To help you get started with The Engine,  we have written 4 easy-to-follow tutorials. This article is 1/4, and details how you can create a free trial...

The Pain [And Cure] for Feature Selection in Machine Learning

Do you find feature selection a challenging task when dealing with high-dimensional datasets?

Democratization of Data Science: What is AutoML? And How Does it Drive Accessibility?

What’s the first word that comes to your mind when you hear the word machine learning?

Term Frequency - Inverse Document Frequency (TF-IDF): Preparing Machines To Read Natural Language With and Without Code

A Friendly Introduction to Natural Language Processing: Acquainting Machines with Human Language

Imagine you’ve woken up on a fine summer’s day in the middle of July. 

A Friendly Introduction to the Most Common Terms in Data Science

Data Science can be an intimidating field, especially for beginners. There are so many terms thrown around and so much mathematics it can overwhelm as...

One-Hot Encoding: The Art of Handling Categorical Data in Data Science

Let’s suppose you have a dataset on which you want to apply a machine learning algorithm. You check the data types of all the features. It consists of...

Automate Machine Learning: XGBoost Algorithm [With & Without Code]

Explore one of the most common and powerful classification algorithms in machine learning: gradient boosted decision trees. 

AWS Glue DataBrew, how does it compare to The AI & Analytics Engine’s Smart Data Preparation? 

Data preparation. Love it or hate it, one thing is certain — it can chew up hours...

Machine Learning Classification Algorithm: Decision Trees [Tutorial with & without code]

In this blog, we will implement one of the most common classification algorithms in machine learning: decision trees