Artificial Intelligence (AI) and Machine Learning are projected to become mainstream technologies in the coming years, and are clearly already having a significant impact across many industries. How exactly is this happening? How are Data Scientists using their skills to develop better Machine Learning algorithms? Where are these innovative technologies going in the future? With […]
Machine Learning Algorithms: Introduction to Random Forests
Click to learn more about author Alejandro Correa Bahnsen. There are a variety of Machine Learning algorithms, and each has its own strengths and weaknesses. In this second article in a series on Machine Learning algorithms, I introduce Random Forests, a supervised algorithm used for classification and regression. If you missed my Introduction to Machine […]
Your Processes are Broken: Here’s How to Fix Them with Data
Click to learn more about author Alex Rinke. In his landmark 1996 HBR essay entitled “What is Strategy?” Michael Porter famously stated: “Operational effectiveness competition shifts the productivity frontier outward, effectively raising the bar for everyone.” This adage has never carried more weight than right now, in the digital age. Global players like Amazon have perfected […]
Artificial Intelligence Use Cases: An Overview
The biggest benefit of Artificial Intelligence (AI) Applications across industries is the tremendous adaptive capability of AI to fit into any industry sector. The number of Artificial Intelligence use cases are currently expanding throughout the Data Management industry in ways never seen. The rapid robotization of human functions has been perceptibly felt in many industries […]
Machine Learning Algorithms Today: Usage and Results
Machine Learning algorithms can predict patterns based on previous experiences. The overarching practice of Machine Learning includes both robotics (dealing with the real world) and the processing of data (the computer’s equivalent of thinking). These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars. […]
Deep Learning and Machine Learning Differences: Recent Views in an Ongoing Debate
The science of Machine Learning (ML) has been around since the 1970s, but low horsepower processors and limited data forced the progress of Machine Learning to slow down in the 1980s. Ever since Big Data has enabled the use of unlimited “variety, volume, and velocity” business data, Machine Learning resurfaced as a powerful game changer […]
Is Machine Learning Ready to Take on Artificial Intelligence?
Machine Learning (ML) algorithms can learn from data and improve themselves. In a way, that learning process is akin to the way the humans learn from daily experience and improve their own skill sets. Artificial Intelligence (AI) facilitates “emulation of human thinking in actions. “So, together AI and ML are capable of delivering smart robots […]