Practical Machine Learning on Databricks (1st Edition) Debu Sinha

Practical Machine Learning on Databricks (1st Edition) – Ebook PDF Instant Download/Delivery

Product details:

• ISBN-10 ‏ : ‎ 1801812039
• ISBN-13 ‏ : ‎ 978-1801812030
• Author(s): Debu Sinha

Take your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovations

Key Features

• Learn to build robust ML pipeline solutions for databricks transition
• Master commonly available features like AutoML and MLflow
• Leverage data governance and model deployment using MLflow model registry
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform.

Table contents:

ML Process and Challenges

• Overview of ML on Databricks

• Utilizing Feature Store

• Understanding MLflow Components

• Create a Baseline Model for Bank Customer Churn Prediction Using AutoML

• Model Versioning and Webhooks

• Model Deployment Approaches

• Automating ML Workflows Using the Databricks Jobs

• Model Drift Detection for Our Churn Prediction Model and Retraining

• CI/CD to Automate Model Retraining and Re-Deployment.

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