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The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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Resultados de búsquedas en

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Machine Learning with Python: Theory and Implementation

Information Theory for Machine Learning: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

AI Engineering: Building Applications with Foundation Models

Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Computational Global Macro: Game Theory, Machine Learning, And Causal Inference

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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Resultados de búsquedas en

machine theory data

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

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The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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