Tech and Education

  What Will You Learn ? Develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics Practice problem analysis and decision-making Gain practical, hands-on experience with statistics programming languages and big data tools through coursework Employ cutting edge tools and technologies to analyze Big Data Apply algorithms to build machine intelligence Who is the target audience? Anybody with an interest in Data Science Anybody who wants to improve their data mining skills Anybody who wants to improve their statistical modelling skills Anybody who wants to improve their data preparation skills Anybody who wants to improve their Data Science presentation skills Benefits This course will give you a full overview of the Data Science journey. Upon completing this course you will know: How to clean and Prepare your data for analysis How to perform basis visualisation

Welcome to this Article on AI, where we'll take you through the basics of what AI is, how its created, and how it'll look in the future. AI stands for artificial intelligence . That's just a fancy way of saying it's intelligence created by humans. There's a particular term for machines that have artificial intelligence. Can you guess what it is ? It is Intelligence agents. Agents just means it's something that carries out an action. When we talk about intelligence, we're referring to the ability of gathering, processing and then applying knowledge. But intelligence doesn't always have to mean something groundbreaking. The truth is there are different types of AI, all varying in their level of intelligence. AI is already integrated into many applications we interact with on a daily basis, without really being called AI. If we take a closer look, we can see that AI is all around us, just not as intelligent as science-fiction stories protray it to be. The