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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

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Resultados de búsquedas en

data modeling design feature

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal modeling techniques

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

Python Feature Engineering Cookbook: A complete guide to crafting powerful features for your machine learning models

Real World Content Modeling: A Field Guide to CMS Features and Architecture

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#

Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs

Feature Store for Machine Learning: Curate, discover, share and serve ML features at scale

Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Machine Learning System Design: With end-to-end examples

Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Learning Tableau 2025: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights

Tableau Desktop Pocket Reference: Essential Features, Syntax, and Data Visualizations

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Código limpio / Clean code: Manual de estilo para el desarrollo ágil de software / A Handbook of Agile Software Craftsmanship (Edición en español)

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Navigating AI After 60: A Friendly Guide to Writing Prompts, Staying Safe & Staying Curious: How to Use ChatGPT for Daily Tasks, Creativity, and Confidence After 60

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Resultados de búsquedas en

data modeling design feature

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal modeling techniques

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

Python Feature Engineering Cookbook: A complete guide to crafting powerful features for your machine learning models

Real World Content Modeling: A Field Guide to CMS Features and Architecture

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#

Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs

Feature Store for Machine Learning: Curate, discover, share and serve ML features at scale

Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Machine Learning System Design: With end-to-end examples

Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Learning Tableau 2025: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights

Tableau Desktop Pocket Reference: Essential Features, Syntax, and Data Visualizations

Recomendados para ti!

Diseñando Aplicaciones de Datos Intensivos: Las Grandes Ideas Detrás de Sistemas Confiables, Escalables y Mantenibles

The Design of Everyday Things: Revised and Expanded Edition

Thinking, Fast and Slow

Deep Learning (serie Computación adaptativa y aprendizaje automático)

Código limpio / Clean code: Manual de estilo para el desarrollo ágil de software / A Handbook of Agile Software Craftsmanship (Edición en español)

Arquitectura limpia: Guía para especialistas en la estructura y el diseño de software

Rompiendo la Entrevista de Codificación: 189 Preguntas de Programación y Soluciones (Rompiendo la Entrevista y la Carrera)

Building Secure and Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems

El programador pragmático. Edición especial: Viaje a la maestría

Fundamentos de Ingeniería de Datos: Planificación y Construcción de Sistemas de Datos Robustos

Computación Cuántica e Información Cuántica: Edición del 10º Aniversario

Navigating AI After 60: A Friendly Guide to Writing Prompts, Staying Safe & Staying Curious: How to Use ChatGPT for Daily Tasks, Creativity, and Confidence After 60

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