Machine Learning Design Patterns: Solutions to , Lakshmanan..

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Machine Learning Design Patterns: Solutions to Common Problems by Lakshmanan

In his book “Machine Learning Design Patterns”, Lakshmanan provides readers with a comprehensive guide to solving common problems in machine learning. From data preprocessing to model evaluation, Lakshmanan offers practical solutions and best practices for designing effective machine learning systems.

Some of the key topics covered in the book include:

– Feature engineering: Learn how to transform raw data into meaningful features that can improve the performance of your models.
– Model selection: Discover the best practices for selecting the right algorithm and hyperparameters for your machine learning tasks.
– Model evaluation: Understand how to properly evaluate the performance of your models and avoid common pitfalls in model evaluation.
– Scalability: Learn how to design machine learning systems that can scale to handle large datasets and high volumes of traffic.

Whether you’re a beginner or an experienced machine learning practitioner, “Machine Learning Design Patterns” offers valuable insights and practical advice for designing effective machine learning systems. Pick up your copy today and start building better machine learning models.
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