6 Free MIT University Course on Artificial Intelligence you shouldn’t miss

With the learning of artificial intelligence, many people want to become more specialized with this advanced technology. We’ve introduced many free and online courses so far, and you will also be introduced to 6 MIT university practical courses on machine learning, artificial intelligence and statistics, all of which are free and online.

6 MIT University Artificial Intelligence Course

First period: “Introducing Machine Learning” Link of Period Videos in YouTube

One of the hot and important topics in the field of artificial intelligence is machine learning. This is a specialized topic, but you can get acquainted with it in this basic level. One of the issues discussed during this period is neural networks that are very important in the development of artificial intelligence.

Second Period: “Introducing Deep Learning” Link of Period Videos in YouTube

This introductory course introduces you to deep learning. The course topics also focus on deep learning applications in natural language processing, computer vision and biology. This course teaches you deep learning algorithms and neural networking algorithms, and also addresses advanced topics, including large language models and productive artificial intelligence. The prerequisite for this period is differential, integral (derivation) and linear algebra (matrix multiplication). If you are also familiar with Python, you can better take advantage of the topics of this course.

Third period: “Artificial Intelligence” | Link of Period Videos in YouTube

This course introduces you to basic topics such as problem solving and artificial intelligence learning. Most of the discussions are theory and are suitable for those who want to examine deeper artificial intelligence.

Fourth period: “Introduction to Probability and Statistics” | Link of Period Videos in YouTube

This period provides an initial introduction to probability and statistics. Its topics include random variables, probability distribution, Bayes’ inference, hypothesis test, confidence interval and linear regression. During this period you will be given a variety of issues with the answer so that you can test yourself whether you have learned these topics.

Fifth Period: “Differential and Matrix Integrity for Machine Learning” | Link of Period Videos in YouTube

In order to be better acquainted with machine learning and optimization on a large scale, you need to be familiar with the differential and matrix integral account. This course offers a coherent approach to the differential and matrix integral account.

Sixth period: “Linear algebra” | Link of Period Videos in YouTube

In this period, as it is known as its name, you will be introduced to the theory of matrix and linear algebra. Of course, the emphasis is more on issues that are useful in other disciplines.