Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development
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Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development
This 562-page guide is your companion through the entire ML workflow from data to models.
Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development
Elementas #: 91400209

Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development

Elementas #: 91400209

€ 48

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What Stands Out

Comprehensive Framework
Delivers a structured approach to machine learning, enabling practitioners to effectively gather data, engineer features, and develop models, enhancing their project success rates.
Practical Insights
Offers actionable insights and best practices derived from real-world applications, ensuring users can overcome common challenges faced in machine learning projects.
User-Centric Design
Focuses on design principles that prioritize user needs, making it easier for data scientists and teams to apply concepts directly to their unique situations.

Produkto Aprašymas

Shop Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development online at a best price in Lithuania. B0DJSWJGY1
Publisher Independently published
Publication date October 9, 2024
Language English
Print length 562 pages
ISBN-13 979-8342441940
Item Weight 2.56 pounds (1.16 kg)
Dimensions 6.93 x 1.27 x 9.84 inches (17.6 x 3.2 x 25 cm)

PRODUKTO APRAŠYMAS

Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development

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Savybės ir privalumai

  • Comprehensive 562-page guide on machine learning workflows.
  • Covers data collection, feature engineering, and model development.
  • Includes 15 timeless principles of machine learning with real-world examples.
  • Provides strategies for assembling high-quality datasets.
  • Step-by-step guidance for rapid model development and prototyping.
  • Best practices for model troubleshooting and tuning with technical details.

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