SKU/Artículo: AMZ-B0FR9H9NWY

ML Optimization Lab Essentials 75 Tuning Challenges to Boost Model Performance and Efficiency in Scalable Environments: Tackle Overfitting, Feature Engineering, and Scalable Training Techniques

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Kindle

Kindle

Paperback

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Fuera de stock
Peso con empaque:
0.36 kg
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No
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Nuevo
Producto de:
Amazon
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USA

Sobre este producto
  • ML Optimization Lab Essentials: 75 Tuning Challenges to Boost Model Performance and Efficiency in Scalable EnvironmentsElevate your machine learning expertise with ML Optimization Lab Essentials: 75 Tuning Challenges to Boost Model Performance and Efficiency in Scalable Environments by Joss Amber. This 127-page guide offers a hands-on journey through 75 meticulously designed challenges, tackling overfitting, feature engineering, and scalable training techniques. Perfect for data scientists and engineers, this 2025 first edition transforms your ML lab into a powerhouse of optimization, blending practical exercises with advanced strategies to enhance model performance in real-world scalable settings. Whether you're refining algorithms or scaling solutions, this book is your key to mastering the art of ML efficiency—secure your copy and unlock your potential today!

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