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Python Computer Vision and Deep Learning Practice: Points it Requires : 2 Type:Technical DocumentationUploader:念慈菴Date:2024-07-16

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Text Analysis with Python: Points it Requires : 2 Type:Technical DocumentationUploader:念慈菴Date:2024-07-16

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Seabed terrain matching navigation technology for intelligent underwater robots (by Li Ye et al.): Points it Requires : 2 Type:Technical DocumentationUploader:抛砖引玉Date:2024-07-15

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Machine Learning from Cognition to Practice (Volume 2) (3 volumes in total, Python+TensorFlow): Points it Requires : 5 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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Machine Learning: Theory, Practice, and Advancement: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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Mathematical foundations of machine learning: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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Probability value: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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A Visual Introduction to Deep Learning: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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Machine Learning: The Basics: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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Reinforcement Learning: Industrial Applications of Intelligent Agents: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-12

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From AI to autonomous driving and connected cars: Advanced Driver Assistance Systems (ADAS): Points it Requires : 2 Type:Technical DocumentationUploader:aeroboticsDate:2024-07-10

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Probabilistic Machine Learning: Advanced Topics: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-09

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Machine Learning: Algorithm Principles and Programming Practice: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-09

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Mathematical Theory of Machine Learning: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning Basics_Merriam Mowry: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Linear Algebra Basics for Machine Learning: Python Language Description: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning by Andrei Bukov: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning Design Patterns: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Probabilistic Machine Learning: An Introduction: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Solve almost any machine learning problem: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning Basics: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning Basics for Predictive Data Analysis: Algorithms, Examples, and Case Studies: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Introduction to Machine Learning (English): Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Supervised Machine Learning with Python: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Basics of Supervised Machine Learning: Applications with Python, R, and Stata: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Machine Learning Basics: Supervised Learning, Unsupervised Learning, and Advanced Learning (English): Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-04

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Detailed explanation of big data architecture: from data acquisition to deep learning: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-03

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Deep Learning: Speech Recognition in Action: Points it Requires : 3 Type:Technical DocumentationUploader:sigmaDate:2024-07-03

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Introduction to Deep Learning: Theory and Implementation Based on Python: Points it Requires : 2 Type:Technical DocumentationUploader:sigmaDate:2024-07-03

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Python for Probability, Statistics, and Machine Learning: Points it Requires : 2 Type:Technical DocumentationUploader:念慈菴Date:2024-06-25

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