Tag: Labeling

Free Download Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models by Vijaya Kumar Suda
English | January 31, 2024 | ISBN: 1804610542 | 398 pages | PDF | 37 Mb
Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysis and data labelingPurchase of the print or Kindle book includes a free PDF eBookBook Description

Free Download Dambarudhar Mohanta, "Nanoscale Matter and Principles for Sensing and Labeling Applications "
English | ISBN: 9819978475 | 2024 | 599 pages | PDF | 20 MB
This book is a compilation of carefully chosen chapters that cover the subjects of nanoscale matter, sensing, and labelling applications. It is aimed primarily at scientists and researchers who are already involved in theme-based research or who are just starting their careers. Despite the diverse nature of the topics covered, which include a range of materials in various forms and uses, the emphasis is primarily on sensing and labelling phenomena. The book begins with materials quantification in nanoscale systems by using an innovative technique like "molecular secondary ion mass spectrometry without calibration standards". Subsequently, the book features an array of materials such as inorganic semiconductor nanoscale particles, carbon dots, rare-earth oxides, polymer nanocomposites, and a few biomaterials, all of which illustrate their functionality and potential for deployment in a wide variety of sensing applications. Although the book delves into the technical aspects of fabrication workouts to some extent, the focus is predominantly on the physical principles, mechanisms, and relevance involved in sensing and labelling applications.

Free Download Data Labeling for Machine Learning
Released 10/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 54m | Size: 270 MB
Almost 2.5 quintillion bytes of data are produced every day-mostly raw, unlabeled data-but supervised learning techniques for machine learning require data to be labeled in order to use it for training. This makes data labeling, time-consuming and expensive though it may be, a vital part of machine learning. In this course, certified Google cloud architect and data engineer Janani Ravi guides you through how to get started with data labeling. Learn about different approaches to data labeling, as well as the challenges, best practices, and use cases that go with it. Go over data labeling with Azure ML, and find out how to set up an image labeling project and perform manual image labeling, reviews, and progress checks. Step through the full process of performing manual and ML-assisted data labeling on Azure, then explore how to use Snorkel for data labeling, including how to create diverse labeling functions and models.