Artificial Intelligence Foundations: Machine Learning

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About Course

One of the most active subfields in artificial intelligence is machine learning. Computers can learn new things without being instructed thanks to machine learning algorithms. They employ statistics in order to comprehend the enormous volumes of data that we generate every day. These more recent algorithms aid machines in categorising pictures, audio, and movies. They can provide us with information, find novel drugs, and even compose music. The definition and three different forms of machine learning—supervised, unsupervised, and reinforcement—are covered in this course. Then, you can learn how to apply well-known methods to find patterns in your enormous data sets, including decision trees, clustering, and regression analysis. Finally, you can discover some of the difficulties that can arise while using machine learning.

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Course Content


  • Welcome

Chapter 1 : What Is Machine Learning?

Chapter 2 : Different Ways A Machine Learns

Chapter 3 : Popular Machine Learning Algorithm

Chapter 4 : Applying Algorithms

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