Machine-Learning-and-Artificial-Intelligence-AI-

Key Skills: Programming Languages: Proficiency in Python and R. Algorithms and Data Structures: Deep understanding of machine learning algorithms and data structures. Frameworks and Libraries: Experience with TensorFlow, PyTorch, Scikit-Learn, and Keras. Mathematics and Statistics: Strong foundation in linear algebra, calculus, probability, and statistics. Model Deployment: Skills in deploying models using tools like Docker and Kubernetes. Data Preprocessing: Expertise in data cleaning, feature engineering, and preprocessing techniques. Natural Language Processing (NLP) and Computer Vision: Knowledge of NLP and computer vision for specific AI applications.