When I grow up, I aspire to be a Machine Learning Engineer. This role would allow me to combine my passion for creating intelligent systems with my skills in programming and data analysis. I am particularly interested in developing algorithms that can solve real-world problems in areas such as healthcare, finance, and environmental sustainability.
To achieve this goal, I am focusing on building a strong foundation in several key areas. Firstly, I need a solid understanding of <a href="https://www.wikiwhat.page/kavramlar/Mathematics">Mathematics</a>, especially linear algebra, calculus, and probability theory. Secondly, I am learning about <a href="https://www.wikiwhat.page/kavramlar/Computer%20Science">Computer Science</a> principles, including data structures, algorithms, and software engineering. Thirdly, I am delving into <a href="https://www.wikiwhat.page/kavramlar/Statistics">Statistics</a>, to understand data distributions, hypothesis testing, and regression analysis. Finally, I am actively learning and experimenting with <a href="https://www.wikiwhat.page/kavramlar/Programming">Programming</a> languages like Python and frameworks like TensorFlow and PyTorch.
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