Learn the Fundamentals of AI and Machine Learning. Develop a deployment strategy for incorporating AI, ML, and Big Data into your organization that will take advantage of cutting-edge technologies.

Learn the Fundamentals of AI and Machine Learning. Develop a deployment strategy for incorporating AI, ML, and Big Data into your organization that will take advantage of cutting-edge technologies.

In mathematics, the Euclidean distance between two points in Euclidean space is the length of the line segment between them. It can be calculated from the Cartesian coordinates of the points using the Pythagorean theorem, and therefore is occasionally called the Pythagorean distance.

Algebra is a branch of mathematics that deals with abstract systems, known as algebraic structures, and the manipulation of expressions within those systems. It is a generalization of arithmetic that introduces variables and algebraic operations other than the standard arithmetic operations, such as addition and multiplication.

Data science is a multidisciplinary field that uses statistics, programming, and domain expertise to extract knowledge and insights from data to solve problems and make predictions. It involves a dynamic process of collecting, cleaning, analyzing, and modeling large datasets to find patterns, inform decisions, and understand complex phenomena. Key tools include programming languages like Python, statistical methods, machine learning, and data visualization, all applied within a specific industry or field.

Artificial Intelligence (AI) is the field of computer science focused on creating systems that can perform tasks requiring human intelligence, such as learning, reasoning, problem-solving, and perception. AI systems learn from vast amounts of data, recognize patterns, and use complex algorithms to make decisions and solve problems, often automating processes or providing personalized recommendations in fields like healthcare, finance, and transportation. Key subfields include machine learning and neural networks, and common examples range from virtual assistants like Siri and chatbots to self-driving cars and generative AI models

AI basics encompass the field of computer science dedicated to creating machines that can learn, reason, problem-solve, and make decisions like humans, primarily through machine learning, deep learning, and natural language processing. These systems learn from vast datasets to identify patterns, make predictions, and perform tasks such as language translation, image recognition, and creating new content through generative AI. Key concepts also include neural networks, large language models (LLMs), and the importance of data for training AI, which enables AI to automate tasks and enhance human capabilities across various industries. 

This course explores the fundamental law of arithmetic, aiming to equip students with a profound understanding of this subject. Arithmetic states that every integer greater than 1 is either prime itself or can be uniquely represented as a product of prime numbers, regardless of the order of the factors. In mathematics, the fundamental theorem of arithmetic, also called the unique factorization theorem and prime factorization theorem, states that every integer greater than 1 is prime or can be represented uniquely as a product of prime numbers, up to the order of the factors.