{"product_id":"data-labeling-in-machine-learning-with-python-explore-modern-ways-to-prepare-labeled-data-for-training-and-fine-tuning-ml-and-generative-ai-models-9781804610541","title":"Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models","description":"\u003cp\u003e\u003cstrong\u003eTake your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eGenerate labels for regression in scenarios with limited training data\u003c\/li\u003e\n\u003cli\u003eApply generative AI and large language models (LLMs) to explore and label text data\u003c\/li\u003e\n\u003cli\u003eLeverage Python libraries for image, video, and audio data analysis and data labeling\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eData labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.\u003c\/p\u003e\u003cp\u003eWith this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eExcel in exploratory data analysis (EDA) for tabular, text, audio, video, and image data\u003c\/li\u003e\n\u003cli\u003eUnderstand how to use Python libraries to apply rules to label raw data\u003c\/li\u003e\n\u003cli\u003eDiscover data augmentation techniques for adding classification labels\u003c\/li\u003e\n\u003cli\u003eLeverage K-means clustering to classify unsupervised data\u003c\/li\u003e\n\u003cli\u003eExplore how hybrid supervised learning is applied to add labels for classification\u003c\/li\u003e\n\u003cli\u003eMaster text data classification with generative AI\u003c\/li\u003e\n\u003cli\u003eDetect objects and classify images with OpenCV and YOLO\u003c\/li\u003e\n\u003cli\u003eUncover a range of techniques and resources for data annotation\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eExploring Data for Machine Learning\u003c\/li\u003e\n\u003cli\u003eLabeling Data for Classification\u003c\/li\u003e\n\u003cli\u003eLabeling Data for Regression\u003c\/li\u003e\n\u003cli\u003eExploring Image Data\u003c\/li\u003e\n\u003cli\u003eLabeling Image Data Using Rules\u003c\/li\u003e\n\u003cli\u003eLabeling Image Data Using Data Augmentation\u003c\/li\u003e\n\u003cli\u003eLabeling Text Data\u003c\/li\u003e\n\u003cli\u003eExploring Video Data\u003c\/li\u003e\n\u003cli\u003eLabeling Video Data\u003c\/li\u003e\n\u003cli\u003eExploring Audio Data\u003c\/li\u003e\n\u003cli\u003eLabeling Audio Data\u003c\/li\u003e\n\u003cli\u003eHands-On Exploring Data Labeling Tools\u003c\/li\u003e\n\u003c\/ol\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50459464466706,"sku":"9781804610541","price":45.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_dc231d30-1d33-40c7-b86c-350dae2da79a.jpg?v=1729985316","url":"https:\/\/surprise-castle.myshopify.com\/products\/data-labeling-in-machine-learning-with-python-explore-modern-ways-to-prepare-labeled-data-for-training-and-fine-tuning-ml-and-generative-ai-models-9781804610541","provider":"Surprise Castle","version":"1.0","type":"link"}