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Practical Machine Learning on Databricks

You're reading from  Practical Machine Learning on Databricks

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781801812030
Pages 244 pages
Edition 1st Edition
Languages
Author (1):
Debu Sinha Debu Sinha
Profile icon Debu Sinha

Table of Contents (16) Chapters

Preface Part 1: Introduction
Chapter 1: The ML Process and Its Challenges Chapter 2: Overview of ML on Databricks Part 2: ML Pipeline Components and Implementation
Chapter 3: Utilizing the Feature Store Chapter 4: Understanding MLflow Components on Databricks Chapter 5: Create a Baseline Model Using Databricks AutoML Part 3: ML Governance and Deployment
Chapter 6: Model Versioning and Webhooks Chapter 7: Model Deployment Approaches Chapter 8: Automating ML Workflows Using Databricks Jobs Chapter 9: Model Drift Detection and Retraining Chapter 10: Using CI/CD to Automate Model Retraining and Redeployment Index Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “In the fifth cell, we first initialize some parameters such as our existing username, experiment_name, which is the experiment’s name that’s associated with our AutoML, and the registry_model_name, which will be the model’s name in the Model Registry.”

A block of code is set as follows:

iris = load_iris() X = iris.data  # Features 
y = iris.target  # Labels

Any command-line input or output is written as follows:

from sklearn.datasets import load_iris  # Importing the Iris datasetfrom sklearn.model_selection import train_test_split  # Importing train_test_split function
from sklearn.linear_model import LogisticRegression  # Importing Logistic Regression model

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “To find out which libraries are included in your runtime, you can refer to the System Environment subsection of the Databricks Runtime release notes to check your specific runtime version.”

Tips or important notes

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