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Practical Simulations for Machine Learning: Using Synthetic Data for AI

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Practical Time Series Analysis: Prediction with Statistics and Machine Learning

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Practical Machine Learning: Innovations in Recommendation

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Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

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

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Practical Data Mining Techniques and Applications

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

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MATLAB for Machine Learning: Practical examples of regression, clustering and neural networks

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Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

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Practical Machine Learning in R

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Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

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Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

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Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

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Resultados de búsquedas en

Practical Simulations for Machine Learning: Using Synthetic Data for AI

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Practical Machine Learning: Innovations in Recommendation

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

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

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

Practical Data Mining Techniques and Applications

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

MATLAB for Machine Learning: Practical examples of regression, clustering and neural networks

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Practical Machine Learning in R

Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

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Resultados de búsquedas en

machine theory practical

Practical Simulations for Machine Learning: Using Synthetic Data for AI

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Practical Machine Learning: Innovations in Recommendation

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

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

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

Practical Data Mining Techniques and Applications

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

MATLAB for Machine Learning: Practical examples of regression, clustering and neural networks

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Practical Machine Learning in R

Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Recomendados para ti!

5 High-Capacity Emergency Water Straws – Lightweight, Reusable, 1800-gallon Filters for Camping, Hiking, Travel, Biking, Survival, and Emergencies. No Expiration Date, Perfect for preparedness

Wheebo 12 Pieces Bucket Hats for Women Summer Beach Fishmen Hat for Lady Adult Unisex Cotton Cap

CUKUSIN Outboard Motor Boat Engine 4 Stroke 4.0 HP Marine Boat Motor with Air Cooling System and Manual Pull Start for Inflatable Fishing Boats Yachts Water Sport Tools, with Shade

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