Data Science Terminology: 26 Key Concepts Everyone Should Understand (Part I)

Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data. Just as with big data (see my terminology pieces here: Part I,

Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is its volume—there is just so much of it. Then mix in high velocity, or fast data, and standard analytical methodologies to make sense of its breakdown, and it becomes even more cumbersome and ineffective. Machine-learning techniques that self-adjust and improve over time are a more cost-effective approach than a