With the learning of artificial ielligence, many people wa to become more specialized with this advanced technology. We’ve iroduced many free and online courses so far, and you will also be iroduced to 6 MIT university practical courses on machine learning, artificial ielligence and statistics, all of which are free and online.
6 MIT University Artificial Ielligence Course
First period: “Iroducing Machine Learning” Link of Period Videos in YouTube
One of the hot and importa topics in the field of artificial ielligence is machine learning. This is a specialized topic, but you can get acquaied with it in this basic level. One of the issues discussed during this period is neural networks that are very importa in the developme of artificial ielligence.
Second Period: “Iroducing Deep Learning” Link of Period Videos in YouTube
This iroductory course iroduces 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 ielligence. The prerequisite for this period is differeial, iegral (derivation) and linear algebra (matrix multiplication). If you are also familiar with Python, you can better take advaage of the topics of this course.
Third period: “Artificial Ielligence” | Link of Period Videos in YouTube
This course iroduces you to basic topics such as problem solving and artificial ielligence learning. Most of the discussions are theory and are suitable for those who wa to examine deeper artificial ielligence.
Fourth period: “Iroduction to Probability and Statistics” | Link of Period Videos in YouTube
This period provides an initial iroduction to probability and statistics. Its topics include random variables, probability distribution, Bayes’ inference, hypothesis test, confidence ierval 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: “Differeial and Matrix Iegrity for Machine Learning” | Link of Period Videos in YouTube
In order to be better acquaied with machine learning and optimization on a large scale, you need to be familiar with the differeial and matrix iegral accou. This course offers a cohere approach to the differeial and matrix iegral accou.
Sixth period: “Linear algebra” | Link of Period Videos in YouTube
In this period, as it is known as its name, you will be iroduced to the theory of matrix and linear algebra. Of course, the emphasis is more on issues that are useful in other disciplines.
