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Databricks ML in Action
Databricks ML in Action

Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

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Profile Icon Stephanie Rivera Profile Icon Anastasia Prokaieva Profile Icon Amanda Baker Profile Icon Hayley Horn
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$24.99 $35.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Book May 2024 280 pages 1st Edition
eBook
$24.99 $35.99
Print
$39.99 $44.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Stephanie Rivera Profile Icon Anastasia Prokaieva Profile Icon Amanda Baker Profile Icon Hayley Horn
Arrow right icon
$24.99 $35.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Book May 2024 280 pages 1st Edition
eBook
$24.99 $35.99
Print
$39.99 $44.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$24.99 $35.99
Print
$39.99 $44.99
Subscription
Free Trial
Renews at $19.99p/m

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Databricks ML in Action

Part 1: Overview of the Databricks Unified Data Intelligence Platform

The goal of this part is not to unveil insights into data never seen before. If that were the case, this would be an academic paper. Instead, the goal is to use open and free data to demonstrate advanced technology and best practices. This part will list and describe each dataset present in the book. It also introduces you to the successful dynamics as well as any configurations that accompany the insights in this part. This part covers workspace design, model life cycle practices, naming conventions, what not to put in DBFS, and other preparatory topics.

This part has the following chapters:

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Key benefits

  • Build machine learning solutions faster than peers only using documentation
  • Enhance or refine your expertise with tribal knowledge and concise explanations
  • Follow along with code projects provided in GitHub to accelerate your projects
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform. You’ll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You’ll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources. By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.

What you will learn

  • Set up a workspace for a data team planning to perform data science
  • Monitor data quality and detect drift
  • Use autogenerated code for ML modeling and data exploration
  • Operationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and Workflows
  • Integrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projects
  • Communicate insights through Databricks SQL dashboards and Delta Sharing
  • Explore data and models through the Databricks marketplace

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 17, 2024
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781800564893
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Product Details

Publication date : May 17, 2024
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781800564893
Category :
Languages :
Tools :

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Table of Contents

13 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Overview of the Databricks Unified Data Intelligence Platform Chevron down icon Chevron up icon
2. Chapter 1: Getting Started and Lakehouse Concepts Chevron down icon Chevron up icon
3. Chapter 2: Designing Databricks: Day One Chevron down icon Chevron up icon
4. Chapter 3: Building the Bronze Layer Chevron down icon Chevron up icon
5. Part 2: Heavily Project Focused Chevron down icon Chevron up icon
6. Chapter 4: Getting to Know Your Data Chevron down icon Chevron up icon
7. Chapter 5: Feature Engineering on Databricks Chevron down icon Chevron up icon
8. Chapter 6: Tools for Model Training and Experimenting Chevron down icon Chevron up icon
9. Chapter 7: Productionizing ML on Databricks Chevron down icon Chevron up icon
10. Chapter 8: Monitoring, Evaluating, and More Chevron down icon Chevron up icon
11. Index Chevron down icon Chevron up icon
12. Other Books You May Enjoy Chevron down icon Chevron up icon

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