📚 Data Science Bookcamp (2022)
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📚 Random Matrix Methods for Machine Learning (2022)
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📚 Python for Data Analysis (2022)
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📚 PyTorch Recipes (2023)
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📚 Applied Missing Data Analysis (2022)
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📚 Mastering PyTorch (2023)
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📚 the oxford handbook of computational (2022)
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📚 Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data (2022)
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📚 Probability, Statistics and Simulation (2023)
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📚 Explainable AI for Practitioners (2023)
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📚 Machine Learning with Python Tutorial (2021)
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Forwarded from Code With Python
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging (2023)
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📚 Practical Mathematics for AI and Deep Learning (2022)
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📚 Regression Models With Python For Beginners (2021)
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📚 Python Machine Learning for Beginners (2022)
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📚 Blueprints for Text Analytics Using Python (2021)
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📚 Building Feature Extraction with Machine Learning (2023)
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📚 Data Science: Concepts and Practice (2019)
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📚 Machine Learning Algorithms in Depth (2023)
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📚 Fun with Machine Learning (2023)
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