Skill

Applied Machine Learning

Data Science, Analytics and AI/ML

Applied Machine Learning refers to the practical use of machine learning algorithms and models to solve real-world problems, as opposed to purely theoretical research. Practitioners such as data scientists and ML engineers build, train, and deploy models for tasks like recommendation systems, fraud detection, and natural language processing using tools like scikit-learn, TensorFlow, and PyTorch. It emphasizes practical skills like data preprocessing, model evaluation, and production deployment over deep mathematical theory.

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• TensorFlow
• PyTorch
• Deep Learning
• scikit-learn
• Model Deployment
• Data Preprocessing