Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions
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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Alok Kumar is a Distinguished Teaching Professor of physics at the State University of New York at Oswego. He was born and educated in India. Later, he taught at California State University at Long Beach and received the Meritorious Performance and Professional Promise Award for excellence in teaching and research in 1990. He has been teaching in the American higher education for about four decades. In Oswego, Kumar has received the Chancellor's Award for Excellence in Teaching, a life-time SUNY award, in 1997 and the President Award for Creative and Scholarly Activity or Research, a life-time award, in 2002. He is a fellow of the Alexander von Humboldt Foundation, Germany, and a NOVA/NASA fellow. Kumar is active in the fields of atomic physics, chemical physics, history of science, and science education.
He has about 75 peer-reviewed publications, and has authored/coauthored three books: (1) Science in the Medieval World, (2) Sciences of the Ancient Hindus: Unlocking Nature in the Pursuit of Salvation, and (3) A History of Science in World Cultures: Voices of Knowledge. All three books deal with the cultural heritage studies in science, including the non-Western cultures. Kumar believes that, to understand modern science, it is essential to recognize that many of the most fundamental scientific principles are drawn from knowledge amassed by ancient civilizations.
Kumar strongly believes that, in a gadget-filled world, scientific literacy is becoming an essential requirement for everyday life. It is the duty of a scientist to disseminate scientific knowledge to the general public. He has done so through articles and interviews in the popular media, making documentary films on archaeological sites that are rich in science, offering institutes for the underprivileged and underrepresented middle school students to pursue a career in science and technology, and lecturing about science for the general public. There are about 120 articles/reports about his activities in the popular media. This includes press releases from Reuters, the Press Trust of India, articles in The Washington Post, Family Life, The Scientists, The Post Standard, The Palladium Times, India Abroad, India West, The South Asian Times, Hinduism Today, AramcoWorld, Organiser, and radio interviews.