Книга Practical Weak Supervision: Doing More with Less Data. 1st Ed. Wee Hyong Tok, Amit Bahree (english)

Книга Practical Weak Supervision: Doing More with Less Data. 1st Ed. Wee Hyong Tok, Amit Bahree (english)

Ціна: 2600 грн.

Автор: Wee Hyong Tok, Amit Bahree
Видавництво: O’Reilly Media
Мова: Англійська
Рік видання: 2021
Формат: 233 х 178 х 10 мм
Кількість сторінок: 200

В наявності

Артикул: 9781492077060 Категорії: , Product ID: 60403

Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There’s a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.

You’ll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build.

Get up to speed on the field of weak supervision, including ways to use it as part of the data science process
Use Snorkel AI for weak supervision and data programming
Get code examples for using Snorkel to label text and image datasets
Use a weakly labeled dataset for text and image classification
Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling

Вага 0.31 kg
Розміри 233 × 178 × 10 mm
Автор

Amit Bahree, Wee Hyong Tok

Видавництво

O'Reilly Media

Мова

Англійська

Рік видання

2021

Кількість сторінок

200

Формат

233 х 178 х 10 мм

Папір

офсетний

ISBN

9781492077060

Штрихкод

9781492077060

Палітурка

м'яка