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Mathematical Foundation for AI and Machine Learning is designed to help learners grasp the essential mathematical concepts that underpin AI and ML algorithms. Developed in collaboration with industry experts, the course simplifies complex topics such as linear algebra, calculus, and probability theory, making them accessible and applicable to real-world AI development.
Participants will gain the foundational knowledge needed to define and understand the behavior of machine learning models. This course is ideal for anyone looking to strengthen their mathematical skills to support deeper learning in AI and ML.
Contents:
This course is intended for individuals who want to strengthen their mathematical understanding to support deeper learning in artificial intelligence and machine learning. It is suitable for learners with basic familiarity in technical or analytical fields who are looking to grasp key concepts in linear algebra, calculus, and probability theory. Ideal candidates are those preparing to advance into AI development or data science and seeking a solid mathematical foundation to interpret and design machine learning algorithms effectively.
The course has been designed in collaboration with industry experts to help you breakdown the difficult mathematical concepts known to man into easier to understand concepts.
Certificate of Attendance, issued by Semos Education upon successful completion of the course.
Mathematical Foundation for AI and Machine Learning is designed to help learners grasp the essential mathematical concepts that underpin AI and ML algorithms. Developed in collaboration with industry experts, the course simplifies complex topics such as linear algebra, calculus, and probability theory, making them accessible and applicable to real-world AI development.
Participants will gain the foundational knowledge needed to define and understand the behavior of machine learning models. This course is ideal for anyone looking to strengthen their mathematical skills to support deeper learning in AI and ML.
Contents:
This course is intended for individuals who want to strengthen their mathematical understanding to support deeper learning in artificial intelligence and machine learning. It is suitable for learners with basic familiarity in technical or analytical fields who are looking to grasp key concepts in linear algebra, calculus, and probability theory. Ideal candidates are those preparing to advance into AI development or data science and seeking a solid mathematical foundation to interpret and design machine learning algorithms effectively.
The course has been designed in collaboration with industry experts to help you breakdown the difficult mathematical concepts known to man into easier to understand concepts.
Certificate of Attendance, issued by Semos Education upon successful completion of the course.
Because Artificial Intelligence is the challenge of the future. With the modernization of lifestyles and technological advancements on a global scale, artificial intelligence is increasingly playing a key role in all aspects of life and development in society.
With taking the first step and investing enough effort, everyone can master this modern topic and stand out in the job market in one of the fastest-growing industries in the world.
The final project taught me many useful things, beyond the realm of video games. However, it greatly helped me get an idea of how machines 'learn' and how powerful they can be.
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