Machine Learning Demystified

Machine learning is becoming an integral part of our everyday lives.

Goal: By the end of this course, you will have an advanced understanding of fundamental machine learning concepts.

Course Objectives:

Define key concepts in machine learning, such as supervised learning, unsupervised learning, and reinforcement learning.
Understand how machine learning works with data.
Explain the fundamental principles behind popular machine learning algorithms.
Explore real-world applications of machine learning technologies.
Discuss ethical issues related to machine learning, such as bias and fairness in algorithms.
Evaluate the impact of machine learning on society.

Before starting this course

Prerequisites: What is Machine Learning eLearning Course

What you should know: A basic understanding of data science and machine learning concepts will be helpful.

Duration: ~30 minutes

Machine learning is becoming an integral part of our everyday lives.

Goal: By the end of this course, you will have an advanced understanding of fundamental machine learning concepts.

Course Objectives:

Define key concepts in machine learning, such as supervised learning, unsupervised learning, and reinforcement learning.
Understand how machine learning works with data.
Explain the fundamental principles behind popular machine learning algorithms.
Explore real-world applications of machine learning technologies.
Discuss ethical issues related to machine learning, such as bias and fairness in algorithms.
Evaluate the impact of machine learning on society.

Before starting this course

Prerequisites: What is Machine Learning eLearning Course

What you should know: A basic understanding of data science and machine learning concepts will be helpful.

Duration: ~30 minutes

Learn advanced machine learning concepts.