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Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data by Jonas Christensen; Felipe Flores; Nakul Bajaj is a nonfiction available to read on EtoBox.
What is Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data about?
Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using PythonKey FeaturesGrasp the principles of data centricity and apply them to real-world scenariosGain experience with quality data collection, labeling, and synthetic data creation using PythonDevelop essential skills for building reliable, responsible, and ethical machine learning solutionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets.This book will help you understand what data-centric ML/AI is and...
Who reads Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jonas Christensen; Felipe Flores; Nakul Bajaj
- Publisher
- Packt Publishing - ebooks Account
- Published
- 2024
- Language
- EN
- ISBN
- 9781804618127
- Category
- nonfiction
- Subjects
- Computer Science, Programming, Stem
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