- Computer Vision
- NLP
- Deep Learning Applications
I've been coding for 5 years and specialize in deep learning.
Since my early childhood, I have been captivated by the fascinating world of computers. This inherent curiosity steered me towards choosing computers as my focus of study in high school. I pursued a bachelor's degree in software engineering, where I delved deeper into the intricacies of programming, algorithms, and software development.
About seven years ago, during my master's degree, I discovered the exciting field of AI, and I've been hooked ever since. I've devoted myself to studying mathematics, statistics, and probability because they are the foundation of AI. With a strong understanding of these subjects, I've dived into machine learning, deep learning, computer vision, and NLP.
I am dedicated to continuous learning and growth, and I am excited to contribute to the advancement of artificial intelligence and its applications in the years to come.
- Machine Learning Series: Day 27 — Continuous Probability Distribution (Gamma Distribution)
- Machine Learning Series: Day 28 — Continuous Probability Distribution (Exponential Distribution)
- Machine Learning Series: Day 29 — Continuous Probability Distribution (Laplacian Distribution)
- Machine Learning Series: Day 30 — Joint Distribution, Marginal Distribution, and Conditional Distribution
- Machine Learning Series: Day 31 — Covariance and Correlation in Machine Learning
){kind=icon}
If you appreciate my work, please consider following and liking me 😉.