Fundamentals of AI and Machine Learning
£ 239.00
In this course, we’ll introduce you to essential concepts of artificial intelligence and machine learning –– technologies that are increasingly relevant in today’s sophisticated workplaces.
This course is for anyone who is interested in artificial intelligence and machine learning and how they can be used to drive solutions in business and in other applications.
The world of artificial intelligence (AI) includes many areas of computing. Artificial intelligence leverages computers and machines to mimic the problemsolving and decision-making capabilities of the human brain.
It combines computer science and robust datasets to facilitate problem-solving. Machine learning can evaluate massive amounts of data automatically. It can also automate the data analysis process and make informed data predictions in real-time without the need of human intervention.
This course is focused on key concepts, such as supervised and unsupervised learning, in these fields. The course is divided into four modules and includes knowledge tests at the end of each section.
Module 1: Introduction to Artificial intelligence
Module 2: Introduction to Machine Learning and Supervised Learning
Module 3: Supervised Learning Models
Module 4: Unsupervised Learning Models
Who is this course for?
The aim of the course is to help you establish a foundational understanding of artificial intelligence and machine learning.
Requirements
There are no prerequisites for this course.
Career path
For an aspiring Data Analyst, it’s essential to have an understanding of the fundamentals of AI and machine learning and how they can be leveraged to make data-crunching more efficient and more robust.
This course is for anyone who is interested in artificial intelligence and machine learning and how they can be used to drive solutions in business and in other applications.
The world of artificial intelligence (AI) includes many areas of computing. Artificial intelligence leverages computers and machines to mimic the problemsolving and decision-making capabilities of the human brain.
It combines computer science and robust datasets to facilitate problem-solving. Machine learning can evaluate massive amounts of data automatically. It can also automate the data analysis process and make informed data predictions in real-time without the need of human intervention.
This course is focused on key concepts, such as supervised and unsupervised learning, in these fields. The course is divided into four modules and includes knowledge tests at the end of each section.
Module 1: Introduction to Artificial intelligence
Module 2: Introduction to Machine Learning and Supervised Learning
Module 3: Supervised Learning Models
Module 4: Unsupervised Learning Models
Who is this course for?
The aim of the course is to help you establish a foundational understanding of artificial intelligence and machine learning.
Requirements
There are no prerequisites for this course.
Career path
For an aspiring Data Analyst, it’s essential to have an understanding of the fundamentals of AI and machine learning and how they can be leveraged to make data-crunching more efficient and more robust.
Category Data Analysis