Do you ever feel like you are drowning in a sea of data? You are not alone! Most companies have methods of collecting data, lots of data, and storing it for future analysis. The problem is that there is so much of it that it’s hard to know where to begin.Read More
Machine learning and artificial intelligence are similar and related concepts. Machine learning can be considered a subcategory to artificial intelligence. While artificial intelligence has the ability to learn on its own, machine learning learns within the confines of the data and algorithms we provide to it. Machine learning is a form of artificial intelligence that originates with human-provided training data and then progresses to autonomous learning.
Data collection has become an important role in a business' advancement. As a company, you can now collect data through every part of the customer experience. Everything you collect will contribute to profiles of your specific customers. Here are a few ways data science and analytics can help benefit your business.Read More
Anomaly detection has countless practical applications, from intrusion detection (identifying irregular patterns in network traffic that could signal a hack) to system health monitoring (spotting a malignant tumor in an MRI scan), and fault detection in operating environments to fraud detection in financial and credit card transactions.Read More
Artificial intelligence and machine learning are very similar, but not necessarily the same thing. AI is where machines imitate human behavior, where machine learning uses algorithms that can learn from and make predictions on data.
Here are some differences and real life applications of artificial intelligence and machine learning.Read More