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Cumpara python for probability springer de calitate.
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This book, fully updated for Python version 3.6, covers the key ideas that link probability, statistics, and Machine Learning illustrated using Python modules in these areas.
Detailed proofs for certain im.
The author develops key intuitions in Machine Learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations.
All the figures and numerical results are reproducible using the Python codes provided.
This book, fully updated for Python version 3.6, covers the key ideas that link probability, statistics, and Machine Learning illustrated using Python modules in these areas
Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
