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Alex Williams Alex Williams
Updated on March 16, 2023

What Is a Knowledge Graph? Examples, Uses and More.

Knowledge graphs are becoming increasingly common thanks to their wide range of applications across industries. This guide introduces you to their basic principles and some examples.

Image: Shutterstock / Built In
Ashley Bowden Ashley Bowden
Updated on March 15, 2023

Google AI Tech Coming to Cloud and Workspace Apps

Google will augment its existing smart tools for Cloud, Gmail and Docs with new generative AI features.

Thomas Kurian, CEO of Google Cloud. | Photo: Google
Noa Heinrich Noa Heinrich
Updated on March 15, 2023

What Is Python Machine Learning: Getting Started with Python

Beginning in machine learning calls for a beginner language — here's a Python machine learning 101.

Image: Shutterstock / Built In
Mike Thomas Mike Thomas
Updated on March 15, 2023

Deep Learning: An In-Depth Look Into the AI-Based Tech

Deep learning is helping industries make great strides, but is it revolutionary or just a 'useful tool' bound for extinction?

Mike Thomas Mike Thomas
Updated on March 15, 2023

The History of Deep Learning: Top Moments That Shaped the Technology

The origins of deep learning and neural networks date back to the 1950s, but the technology's ascendance in the AI is relatively new.

James Le James Le
Updated on March 15, 2023

10 Data Mining Techniques Data Scientists Need for Their Toolbox

Data mining is a must-know when working with big data. Here are 10 techniques to use.

Image: Shutterstock
Vihar Kurama Vihar Kurama
Updated on March 15, 2023

Machine Learning Introduction for Beginners: Everything You Should Know

What is machine learning? How does it work? How much math is involved? An engineer breaks it all down.

Vihar Kurama Vihar Kurama
Updated on March 15, 2023

Reinforcement Learning With Python: A Guide to Designing and Solving Problems

What is reinforcement learning and how does it work with Python?

Vihar Kurama Vihar Kurama
Updated on March 15, 2023

A beginner's guide to supervised learning with Python

The ultimate goal of the supervised learning algorithm is to predict Y with the max accuracy for a given new input X. Here's how that works.