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We're here to help you find itThe Maths for AI course provides a comprehensive curriculum designed to equip learners with the mathematical foundation necessary for understanding and advancing in the field of artificial intelligence. This course covers a broad spectrum of topics, from Linear algebra and Calculus to Probability, Statistics, and Optimization techniques.
Starting with Module 1, students dive into Linear algebra, which is critical for AI applications such as computer vision and machine learning. They learn about vectors, matrices, and operations that are essential for representing and manipulating data.
In Module 2, the course delves into Calculus, which underpins the optimization algorithms like Gradient descent used in training machine learning models.
Module 3's focus on Probability and Statistics lays the groundwork for making predictions and decisions under uncertainty, a common scenario in AI.
Modules 4 and 5 introduce Mathematical reasoning and Optimization for AI, enhancing learners' abilities to approach complex problems and improve AI algorithms.
Lastly, Modules 6 and 7 cover Linear regression, Regularization, and Neural networks, providing practical skills for designing and evaluating AI models.
Overall, this course is tailored to impart the robust mathematical skills necessary for AI, with an emphasis on practical applications that will empower learners to excel in the cutting-edge field of artificial intelligence.
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| Course Fee | 1,700 |
|
Total Fees |
1,700 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To successfully undertake the Maths for AI course, it is essential that students have a foundational understanding of certain mathematical concepts. Here are the minimum required prerequisites:
By meeting these prerequisites, students will be well-equipped to grasp the course material and apply it to AI-related problems. Please note that while prior exposure to advanced mathematics can be beneficial, the course is designed to build up the necessary skills from the basics, ensuring that all students with a solid foundational knowledge have the opportunity to succeed.
"Maths for AI" is a comprehensive course designed for individuals looking to deepen their understanding of mathematical concepts essential for AI and ML technologies.
Target audience for "Maths for AI" includes:
This Maths for AI course equips students with the foundational mathematical knowledge essential for understanding and creating AI algorithms, spanning linear algebra to neural network principles.
