Submission - Belajar Penerapan Machine Learning untuk Android Dicoding

[COMS4995] Applied Machine Learning

📚 Curated list of machine learning engineering blogs.

ISA_I 2024/2025 @ FIIT STU in Bratislava

📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.

Python solutions to solve practical business problems.

Maze Applied Reinforcement Learning Framework

Bioinformatic, statistical & ML analysis of Homologous Recombination Deficiency in triple-negative breast cancer

Welcome to the repository for the "Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate" notes. This repository is part of my Open Source Learning initiative to share knowledge and resources related to machine learning and cloud computing.

Early Detection of Collective Misconceptions with Network-Aware Machine Learning Tools

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Supervised Machine Learning: Regression and Classification

Conducted data analysis using statistical tools and complex visualizations; trained logistic regression, k-nn, kernelized svm, and random forest models; performed hyperparameter tuning and error analysis. Tech: Python (seaborn, matplotlib, pandas, scikit-learn)

Live-Transcription (STT) with Whisper PoC

Mini Challenge of the Applied Machine Learning course at FHNW

📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.

Applied artificial intelligence is the implementation of AI tech to solve real world problems. It is a rapidly growing field that is set to shape our future with cutting edge technologies and perhaps even change the world as we know it today!

Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

a structured 3-year Applied AI Bachelor degree path involves covering foundational courses, specialized AI topics, practical applications, and supplementary resources