Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fieldsKey Features
Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs
Gain profound insights within your data while achieving greater efficiency and speed
Apply your knowledge to real-world use cases and solve complex ML problems
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionBuilding accurate machine learning models requires quality data—lots of it. However, for most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. Led by Margaux Masson-Forsythe, a seasoned ML engineer and advocate for surgical data science and climate AI advancements, this hands-on guide to active machine learning demonstrates how to train robust...
Description:
Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fieldsKey Features