Applied Machine Learning
**Applied Machine Learning**
What is Applied Machine Learning?
Applied Machine Learning refers to the practical application of machine learning techniques to solve real-world problems. It involves taking theoretical machine learning models and algorithms and implementing them in specific contexts, focusing on data preprocessing, model selection, training, evaluation, deployment, and maintenance. Common uses include predictive modeling, image recognition, natural language processing, and recommendation systems across various industries.
What other technologies are related to Applied Machine Learning?
Applied Machine Learning Complementary Technologies
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