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Accomplishments

(18.6501) Fundamentals of Statistics

Massachusetts Institute of Technology

Issue date: 3rd of September 2025

This course provides a rigorous introduction to the theoretical foundations of statistical inference. It emphasizes the construction and analysis of statistical methods—covering parametric estimation, confidence intervals, hypothesis testing, Bayesian inference, and regression—using mathematical language for intuition and derivations. Through this approach, students build both a solid mathematical understanding of core concepts and the ability to apply them to real-world data analysis.

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(6.86) Machine Learning with Python-From Linear Models to Deep Learning

Massachusetts Institute of Technology

Issue date: 18th of May 2025

This course provides a comprehensive exploration of machine learning principles and applications. It covers the full spectrum of machine learning, starting with linear models and extending to deep learning architectures. Key topics include supervised and unsupervised learning, support vector machines, neural networks, and optimization techniques. The course also emphasizes practical implementations using Python, enabling hands-on experience with real-world datasets and model development. Through rigorous exercises and projects, students gain a robust understanding of both the theory and application of modern machine learning techniques.

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(6.431) Probability - The Science of Uncertainty and Data

Massachusetts Institute of Technology

Issue date: 27th of December 2024

This comprehensive course dives deep into the field of probability, combining intuitive reasoning with rigorous mathematical analysis. It covers fundamental topics such as Bayes’ Theorem, discrete and continuous random variables, Bayesian inference, Poisson processes, and much more. The course emphasizes both understanding the underlying principles and applying them to real-world scenarios.

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Introduction to linear algebra

University of Sydney

Issue date: 23rd of January 2025

This course provides a solid introduction to the fundamentals of linear algebra, covering core concepts and their applications to a variety of mathematical problems. Through practical examples and exercises, it emphasizes both understanding and skill-building, making it an excellent foundation for further studies in mathematics and related fields

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Introduction to calculus

University of Sydney

Issue date: 29th of August 2024

This course provides a solid introduction to the fundamentals of calculus, covering core concepts and their applications to a variety of mathematical problems. Through practical examples and exercises, it emphasizes both understanding and skill-building, making it an excellent foundation for further studies in mathematics and related fields.

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