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Start with strong fundamentals: learn Python, basic statistics, and linear algebra. Then study core machine learning concepts using libraries like NumPy, pandas, and scikit-learn. Platforms like H2K Infosys offer structured Ai Learning for Beginners and real world projects to guide beginners. Next, explore deep learning with TensorFlow or PyTorch. Practice on Kaggle datasets, learn model evaluation and deployment, and gradually specialize in areas like NLP or computer vision while staying updated with AI trends and communities.
Topic starter
Posted : 18/03/2026 6:22 am