ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)

                   ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)

Artificial Intelligence (AI) leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. AI encompasses the idea of a machine that can mimic human intelligence. Artificial Intelligence experts are essential to modern business activities and operations, assisting to drive organizational success. Artificial intelligence can be highlighted as the intelligence of machines or software, as opposed to the intelligence of human beings or animals. Machine Learning (ML) can be considered as a subfield of Artificial Intelligence, which facilitates machines to learn from past data or experiences without being explicitly programmed.  ML is a subset of AI that uses algorithms trained on data to produce models that can perform such complex tasks. Machine Learning (ML) is a branch of Artificial Intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning algorithms are typically created using frameworks that accelerate solution development, such as TensorFlow and PyTorch.

The three machine learning types are Supervised, Unsupervised, and Reinforcement Learning.

Machine Learning algorithms can identify patterns and trends in data and use them to make predictions and decisions. ML is used to build predictive models, classify data, and recognize patterns, and is an essential tool for many AI applications. The development of AI and ML possess the capacity to transform various industries and improve people’s lives in many ways. AI systems can be used to diagnose diseases, detect fraud, analyze financial data and optimize manufacturing processes. ML algorithms can help to personalize content and services, improve customer experiences and even help to solve some of the world’s most pressing environmental challenges.

AI applications include advanced web search engines, recommendation systems, understanding human speech, self-driving cars, generative or creative tools, and competing at the highest level in strategic games. There are two ways in which AI is generally classified. One type is based on classifying AI and AI-enabled machines based on their likeness to the human mind, and their ability to “think” and perhaps even “feel” like humans. According to this system of classification, there are four types of AI or AI-based systems: reactive machines, limited memory machines, theory of mind, and self-aware AI.

                                    TYPES OF ARTIFICIAL INTELLIGENCE

AI and machine learning technology is used in most of the essential applications of the 2020s, including: search engines (such as Google Search), targeting online advertisements, recommendation systems (offered by Netflix, YouTube or Amazon).

Artificial intelligence can even master creative processes including making visual art, writing poetry, composing music, and taking photographs.