AI is a constellation of technologies--from machine learning to natural language processing--that allows machines to sense, comprehend, act and learn. Artificial intelligence will transform the relationship between people and technology, charging our creativity and skills. The future of AI promises a new era of disruption and productivity, where human ingenuity is enhanced by speed and precision. How is AI affecting our creative industries, and are all the changes for the better? We've got another brilliant Byte The Book panel to explore this topic chaired by journalist and author Mark Piesing.

Guest Written By Rebecca Njeri Last Thursday, I attended the machinery.ai After about 1.5 years of learning and practising data science, this conference reminded me of the things that intrigued me when I first started learning data science, and I thought that I should write a post explaining the three different groups of machine learning algorithms. Machine Learning can be defined as the science of getting computers to act without being explicitly programmed. It can be further divided into three broad categories: supervised learning, unsupervised learning, and reinforcement learning. A machine learning model should be chosen depending on the nature of the data available as will be illustrated below.