Introducing supervised learning Supervised algorithms use a class or label (from the input data) as support to find and validate the optimal solution. In Table 1.1, there is a dataset that aims to classify fraudulent transactions from a financial company. Day of the week Hour Transaction amount Merchant type Is fraud? Mon 09:00 $1000 Retail […]

Examining ML ML is a sub-area of AI that aims to create systems and machines that can learn from experience, without being explicitly programmed. As the name suggests, the system can observe its underlying environment, learn, and adapt itself without human intervention. Algorithms behind ML systems usually extract and improve knowledge from the data and […]

Making the Most Out of this Book – Your Certification and Beyond This book and its accompanying online resources are designed to be a complete preparation tool for your MLS-C01 Exam. The book is written in a way that you can apply everything you’ve learned here even after your certification. The online practice resources that […]

For many decades, researchers have been trying to simulate human brain activity through the field known as artificial intelligence, or AI for short. In 1956, a group of people met at the Dartmouth Summer Research Project on Artificial Intelligence, an event that is widely accepted as the first group discussion about AI as it’s known […]