Machine Learning & Artificial Intelligence

Machine learning is a branch of artificial intelligence that deals with the design and development of algorithms that can learn from and make predictions on data. These algorithms are used in a variety of different applications, such as recommendation systems, speech recognition, and image classification.

Deep learning is a type of machine learning that is inspired by the structure and function of the brain. Deep learning algorithms are able to learn from data and recognize patterns that are too complex for traditional machine learning algorithms. Deep learning is used for a variety of applications, including image recognition, natural language processing, and speech recognition.

Natural language processing (NLP) is a subfield of computer science and artificial intelligence that deals with the interactions between computers and human (natural) languages. It is used to apply computational techniques to text or speech to derive meaning (understanding) from the text.

NLP technology is used to develop applications that can automatically interpret and take actions based on human communications. Such applications include voice recognition, chatbots, and machine translation.

Video analytics is the process of extracting actionable insights from video content. It can be used to detect and track objects, identify patterns and behaviour, and automate decision-making.

Video analytics can be used to solve problems such as reducing theft in retail stores, optimizing traffic flow in cities, or increasing efficiency in factories. It can also be used to improve customer service, such as by providing real-time analysis of customer behaviour in retail stores.

Predictive analytics is the branch of advanced analytics which is used to make predictions about future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze current data and make predictions.