Name: Unlimited
Brand: Storytel
SKU: 7777
Price: 13800 KRW
Availability: InStock

Margaux Masson-Forsythe

Building 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 models with just a fraction of the data using Python's powerful active learning tools.

You’ll master the fundamental techniques of active learning, such as membership query synthesis, stream-based sampling, and pool-based sampling and gain insights for designing and implementing active learning algorithms with query strategy and Human-in-the-Loop frameworks. Exploring various active machine learning techniques, you’ll learn how to enhance the performance of computer vision models like image classification, object detection, and semantic segmentation and delve into a machine AL method for selecting the most informative frames for labeling large videos, addressing duplicated data. You’ll also assess the effectiveness and efficiency of active machine learning systems through performance evaluation.

By the end of the book, you’ll be able to enhance your active learning projects by leveraging Python libraries, frameworks, and commonly used tools.

Packt Publishing

Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning

스토리텔을 처음 사용하시나요?

다음으로 로그인하세요...

다음으로 계정을 만드세요...

계정 만들기

Enter a Code

Storytel

스토리텔 Unlimited로 매월 무제한 청취와 독서가 가능하며, 방대한 오디오북과 이북 카탈로그에 접근할 수 있습니다.