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Like its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seaml
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This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov mod
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Foreword. 1. Prerequisites in probability calculus. 2. Information and the Kullback Distance. 3. Probabilistic Models an
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Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-sou
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Reactive Publishing Unlock the potential of financial markets with "Derivatives with Python," the essential g
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Build advanced Natural Language Understanding Systems by acquiring data and selecting appropriate technology. Key Featur
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