Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]
Deep Learning Demystified
The “deep” in deep learning refers to the number of hidden layers involved in the design. Deep learning is a way of training artificial intelligence (AI) to recognize specific data, such as speech or faces, and to make predictions based on previous experiences. Unlike machine learning, which organizes and sends data through predefined algorithms, deep […]
Artificial Neural Networks: An Overview
Neural networks and deep learning currently provide some of the most reliable image recognition, speech recognition, and natural language processing solutions available. However, it wasn’t always that way. One of the earliest and simplest teaching philosophies for artificial intelligence was marginally successful. It suggested that loading the maximum amount of information into a powerful computer […]
Data Science in 90 Seconds: Artificial Neural Networks
Click to learn more about video blogger Laura Kahn. This is Lesson 15 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Machine Learning 101
Click to learn more about author Steve MacLauchlan. By now you’re probably well aware that Big Data and Artificial Intelligence are major disruptors in almost every single vertical. Understanding the landscape can be challenging, particularly for business customers who want to innovate but aren’t sure where to start. In today’s blog, I hope to leave you, […]