Practical Full Stack Machine Learning
A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions
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Practical Full Stack Machine Learning
Description
Master the ML process, from pipeline development to model deployment in production.
KEY FEATURES
● Prime focus on feature-engineering, model-exploration & optimization, dataops, ML pipeline, and scaling ML API.
● A step-by-step approach to cover every data science task with utmost efficiency and highest performance.
● Access to advanced data engineering and ML tools like AirFlow, MLflow, and ensemble techniques.
WHAT YOU WILL LEARN
● Learn how to create reusable machine learning pipelines that are ready for production.
● Implement scalable solutions for pre-processing data tasks using DASK.
● Experiment with ensembling techniques like Bagging, Stacking, and Boosting methods.
● Learn how to use Airflow to automate your ETL tasks for data preparation.
● Learn MLflow for training, reprocessing, and deployment of models created with any library.
● Workaround cookiecutter, KerasTuner, DVC, fastAPI, and a lot more.
WHO THIS BOOK IS FOR
This book is geared toward data scientists who want to become more proficient in the entire process of developing ML applications from start to finish. Knowing the fundamentals of machine learning and Keras programming would be an essential requirement.
TABLE OF CONTENTS
1. Organizing Your Data Science Project
2. Preparing Your Data Structure
3. Building Your ML Architecture
4. Bye-Bye Scheduler, Welcome Airflow
5. Organizing Your Data Science Project Structure
6. Feature Store for ML
7. Serving ML as API
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Delivery
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- Supplier delays: Occasionally a supplier is delayed, or their stock information turns out to be inaccurate. We’ll keep your order open for up to 60 days. If an item hasn’t shipped or isn’t on its way to us by then, we’ll cancel that item and refund it.
Faulty or damaged items are always covered. See Returns.
Returns
Damaged or incorrect items (within 30 days)
If an item arrives damaged or isn’t what you ordered, contact us within 30 days of delivery. We may ask for a photo, and if we need the item back we’ll send a prepaid return label, so it costs you nothing. You’ll receive a replacement or refund, as guaranteed under the Australian Consumer Law.
Change of mind (within 30 days)
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