Introduction To Artificial Intelligence | What Is AI?| Artificial
Intelligence Tutorial |
Introduction to Artificial Intelligence and Machine Learning
By the end of this lesson, you will be able to:
Define artificial intelligence
Describe the relationship between artificial intelligence and data science
Describe different machine learning approaches
Describe how the field of artificial intelligence emerged
Understanding Artificial Intelligence
Artificial Intelligence (AI) systems mimic or replicate human intelligence. AI, machine learning, and data
science fall in the same domain and are connected to each other. However, they have their specific
applications and meaning. Machine learning techniques such as supervised learning or unsupervised
learning are used to extract predictions from a given dataset.
What is Data Science?
Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and
artificial intelligence. It is the use of statistical methods to find patterns in the data.
What is Machine Learning?
Machine learning is the capability of an artificial intelligence system to learn by extracting patterns from
data. It uses the data to detect patterns in a dataset and adjust program actions accordingly. Data
analysis is the process under data science which helps evaluate data for machine learning algorithms.
In the field of machine learning, algorithms are applied to data provided and the output is a learning
model that helps machines to learn from the data. In contrast to traditional programming, in machine
learning, much of the behavior of the program is left to the machine, which learns from the given data.
Artificial intelligence and machine learning are increasingly being applied in various areas, such as image
processing, robotics, and data mining. Such applications are frequently used to assist with managerial
decisions that rely on data as evidence for possible outcomes.
Machine learning has transformed the healthcare industry. Several machine-based companies are
utilizing machine learning to enhance healthcare quality. Various healthcare services are offering
features such as decision-making tools and personalized drug researchers using machine learning.
Intelligence Tutorial |
Introduction to Artificial Intelligence and Machine Learning
By the end of this lesson, you will be able to:
Define artificial intelligence
Describe the relationship between artificial intelligence and data science
Describe different machine learning approaches
Describe how the field of artificial intelligence emerged
Understanding Artificial Intelligence
Artificial Intelligence (AI) systems mimic or replicate human intelligence. AI, machine learning, and data
science fall in the same domain and are connected to each other. However, they have their specific
applications and meaning. Machine learning techniques such as supervised learning or unsupervised
learning are used to extract predictions from a given dataset.
What is Data Science?
Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and
artificial intelligence. It is the use of statistical methods to find patterns in the data.
What is Machine Learning?
Machine learning is the capability of an artificial intelligence system to learn by extracting patterns from
data. It uses the data to detect patterns in a dataset and adjust program actions accordingly. Data
analysis is the process under data science which helps evaluate data for machine learning algorithms.
In the field of machine learning, algorithms are applied to data provided and the output is a learning
model that helps machines to learn from the data. In contrast to traditional programming, in machine
learning, much of the behavior of the program is left to the machine, which learns from the given data.
Artificial intelligence and machine learning are increasingly being applied in various areas, such as image
processing, robotics, and data mining. Such applications are frequently used to assist with managerial
decisions that rely on data as evidence for possible outcomes.
Machine learning has transformed the healthcare industry. Several machine-based companies are
utilizing machine learning to enhance healthcare quality. Various healthcare services are offering
features such as decision-making tools and personalized drug researchers using machine learning.
