Do you want to learn essential Artificial Intelligence concepts like search, optimization, planning, and pattern recognition from top AI experts? AI and Deep learning have shown promising growth in recent years and in the near future can change the way companies operate.
Introduction to AI
Skills needed in Machine Learning
AI vs ML vs DL
Skills needed for a career in AI
Top Applications of AI
AI in Programmatic Advertising
Today, the amount of data that is generated, by both humans and machines, far outpaces humans' ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. Moreover, machine learning focuses on the development of computer programs. The primary aim is to allow the computers to learn automatically without human intervention.
Artificial Intelligence is a subfield of Computer Science whereas Machine Learning is a subfield of Artificial Intelligence.
At a high-level, algorithms learn by generalising from multiple historical examples, For example: ‘Inputs like this usually come before outputs like that.’ The generalisation, e.g. the learned model, can then be used on new examples in the future to predict what is expected to happen or what the expected output will be.
A few examples of where AI is used are, speech recognition, problem-solving, learning and planning.