Primeroney

  What is artificial intelligence (AI)? Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include  expert systems , natural language processing, speech recognition and  machine vision . How does AI work? As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI,  such as machine learning . AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No one programming language is synonymous with AI, but a few, including Python, R and Java, are popular. In general, AI systems work by inges

  Deep learning Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. What is deep learning? Deep learning is a type of  machine learning  and artificial intelligence ( AI ) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and  predictive modeling . It is extremely beneficial to data scientists who are tasked with collecting, analyzing and interpreting large amounts of data; deep learning makes this process faster and easier. At its simplest, deep learning can be thought of as a way to automate  predictive analytics . While traditional machine learning  algorithms  are linear, deep learning algorithms are stacked in a  hierarchy  of increasing complexity and abstraction. To understand deep learning, imagine a toddler whose first word is  dog . The toddler learns what a dog is -- and is not -- by pointing to ob

  machine learning Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. What is machine learning? Machine learning (ML) is a type of artificial intelligence ( AI ) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning  algorithms  use historical data as input to predict new output values. Recommendation engines  are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection,  business process automation  (BPA) and Predictive maintenance. Why is machine learning important? Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as