Practical Full Stack Machine by Kumar Alok (9 results)

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 CONTENTS1. Organizing Your Data Science Project2. Preparing Your Data Structure3. Building Your ML Architecture4. Bye-Bye Scheduler, Welcome Airflow5. Organizing Your Data Science Project Structure6. Feature Store for ML 7. Serving ML as API.…

Taschenbuch. Condition: Neu. Practical Full Stack Machine Learning | A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions | Alok Kumar | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | BPB Publications | EAN 9789391030421 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …