Machine learning is powered by four critical concepts and is Statistics, Linear Algebra, Probability, and Calculus. While statistical concepts are the core part of every model, calculus helps us learn and optimize a model. The objectives of this course are as follows:
➼ To provide essential Mathematics skills for Machine Learning
➼ To learn and implement Machine Learning algorithms
➼ To introduce important application areas of Machine Learning such as Image Recognition, Speech Recognition, Traffic prediction, Product recommendations, etc.
➼ To impart necessary research and technical writing skills
➼ To implement end-to-end hands-on Machine Learning projects
➼ Strong theoretical foundation of the fundamental concepts by professors & researchers from IITs, IIITs, NITs, and other institutes of international repute.
➼ Hands-on coding practice and project development in guidance of Industry experts, Research Scholars and Top-level programmers.
➼ Regular interaction, assignments, quizzes, and evaluations.
➼ Networking opportunity with participants reputed institutes and industries.
➼ Opportunity to work on end-to-end projects and assistance in resume, portfolio building.
➼ A chance to publish research papers and participate in international conferences.
➼ Continuous assistance during the course and after that, lifetime access to the learning material, including Slides, software, codes, and other resources.
Coming soon...
By the end of this certification course, the participants should be able to:
➼ Possess essential Mathematics skills to better understand Machine Learning algorithms
➼ Understand the basic know-how about Mathematics behind Machine Learning
➼ Understand a wide variety of Mathematical techniques & approaches used in Machine Learning
➼ Understand how to pre-process the data and evaluate the models generated from data
➼ Apply these algorithms to real-life problems, communicate their results in technical reports
Moreover, they will also acquire a course competition certificate on completing the assigned project.
Sample Course Certificate: Coming soon...
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- Course Fee ₹12000
- Course Duration 40+ hours
- Register Before 2024-07-31
- Eligibility Criteria Nil
- Registration & Payment Click Here