Introduction To Probability Theory: A First Course On The Measure-theoretic Approach
Introduction To Probability Theory: A First Course On The Measure-theoretic Approach (World Scientific Series On Probabi...
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Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, 2nd Edition
Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine le...
A Practical Guide to Service Management: Insights from industry experts for uncovering, implementing, and improving service management practices
A Practical Guide to Service Management: Insights from industry experts for uncovering, implementing, and improving serv...
Zero to Hero in Cryptocurrency Trading: Learn to trade on a centralized exchange, understand trading psychology, and implement a trading algorithm
Zero to Hero in Cryptocurrency Trading: Learn to trade on a centralized exchange, understand trading psychology, and imp...
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning) by Marc G. Bellemare(Author), Will Dab...
Introduction to Computational Economics Using Fortran
Introduction to Computational Economics Using Fortran by 作者: Hans Fehr and Fabian Kindermann Pages 页数: 592 pages Publish...
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics) by ...