Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
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

Arrow left icon
Profile Icon Stephanie Rivera Profile Icon Hayley Horn Profile Icon Amanda Baker Profile Icon Anastasia Prokaieva
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (10 Ratings)
Paperback May 2024 280 pages 1st Edition
eBook
$9.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Stephanie Rivera Profile Icon Hayley Horn Profile Icon Amanda Baker Profile Icon Anastasia Prokaieva
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (10 Ratings)
Paperback May 2024 280 pages 1st Edition
eBook
$9.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$9.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

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:

Left arrow icon Right arrow icon
Download code icon Download Code

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.

Who is this book for?

This book is for machine learning engineers, data scientists, and technical managers seeking hands-on expertise in implementing and leveraging the Databricks Data Intelligence Platform and its Lakehouse architecture to create 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

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

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

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

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 144.97
Databricks ML in Action
$44.99
Building LLM Powered  Applications
$49.99
Data Engineering with Databricks Cookbook
$49.99
Total $ 144.97 Stars icon
Banner background image

Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(10 Ratings)
5 star 90%
4 star 0%
3 star 0%
2 star 10%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




N/A Jun 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Steven Fernandes Jun 25, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A good resource for setting up a data science workspace, monitoring data quality, and detecting drift. It covers the use of autogenerated code for ML modeling, operationalizing ML with advanced tools like AutoML, VectorSearch, and Delta Live Tables, and integrating applications like OpenAI's ChatGPT. The book also emphasizes communicating insights with Databricks SQL dashboards and Delta Sharing and exploring data and models through the Databricks marketplace. A must-read for efficiently managing and scaling AI projects.
Amazon Verified review Amazon
Ramiro May 29, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Writer Stephanie Rivera is a masterful writer whose exploration of artificial intelligence pushes the boundaries of the genre and challenges readers to consider the implications of a future shaped by AI.
Amazon Verified review Amazon
alisha Jun 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a comprehensive guide for anyone looking to harness the power of Databricks for machine learning and data science.Here are some key takeaways:Hands-On Learning: The book offers practical examples and step-by-step tutorials, making complex concepts accessible to beginners and experienced practitioners.Real-World Applications: It dives into real-world use cases, showcasing how companies leverage Databricks to solve business problems, optimize processes, and drive innovation.Comprehensive Coverage: The book covers the entire machine learning lifecycle from data engineering and exploratory data analysis to model building and deployment.Integration and Scalability: It highlights how Databricks seamlessly integrates with other tools and technologies, ensuring scalable and efficient workflows.Expert Insights: Written by industry experts, the book provides deep insights into best practices and advanced techniques, empowering readers to elevate their ML projects.Whether you're a data scientist, ML engineer, or analyst,"Databricks ML in Action" is a valuable resource to enhance your skillset and knowledge.
Amazon Verified review Amazon
Ryan Aug 23, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
In depth instruction about the platform with 4 specific practical examples:- A time series forecaster- A feature engineered stream of transactions- A multi-label image classifier- A RAG augmented chatbotVery good book!
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.