{"product_id":"active-machine-learning-with-python-refine-and-elevate-data-quality-over-quantity-with-active-learning-paperback","title":"Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMargaux Masson-Forsythe\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUse 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 fields\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eLearn how to implement a pipeline for optimal model creation from large datasets and at lower costs\u003c\/li\u003e\n\u003cli\u003eGain profound insights within your data while achieving greater efficiency and speed\u003c\/li\u003e\n\u003cli\u003eApply your knowledge to real-world use cases and solve complex ML problems\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\u003eBuilding 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.\u003c\/p\u003e\u003cp\u003eYou'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.\u003c\/p\u003e\u003cp\u003eBy the end of the book, you'll be able to enhance your active learning projects by leveraging Python libraries, frameworks, and commonly used tools.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eMaster the fundamentals of active machine learning\u003c\/li\u003e\n\u003cli\u003eUnderstand query strategies for optimal model training with minimal data\u003c\/li\u003e\n\u003cli\u003eTackle class imbalance, concept drift, and other data challenges\u003c\/li\u003e\n\u003cli\u003eEvaluate and analyze active learning model performance\u003c\/li\u003e\n\u003cli\u003eIntegrate active learning libraries into workflows effectively\u003c\/li\u003e\n\u003cli\u003eOptimize workflows for human labelers\u003c\/li\u003e\n\u003cli\u003eExplore the finest active learning tools available today\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eIdeal for data scientists and ML engineers aiming to maximize model performance while minimizing costly data labeling, this book is your guide to optimizing ML workflows and prioritizing quality over quantity. Whether you're a technical practitioner or team lead, you'll benefit from the proven methods presented in this book to slash data requirements and iterate faster.\u003c\/p\u003e\u003cp\u003eBasic Python proficiency and familiarity with machine learning concepts such as datasets and convolutional neural networks is all you need to get started.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eIntroducing Active Machine Learning\u003c\/li\u003e\n\u003cli\u003eDesigning Query Strategy Frameworks\u003c\/li\u003e\n\u003cli\u003eManaging the Human in the Loop\u003c\/li\u003e\n\u003cli\u003eApplying Active Learning to Computer Vision\u003c\/li\u003e\n\u003cli\u003eLeveraging Active Learning for Big Data\u003c\/li\u003e\n\u003cli\u003eEvaluating and Enhancing Efficiency\u003c\/li\u003e\n\u003cli\u003eUtilizing Tools and Packages for Active Learning\u003c\/li\u003e\n\u003c\/ol\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 176\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 29, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":43372554944647,"sku":"9781835464946","price":67.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/eYGHpt1kGg9781835464946.webp?v=1761403817","url":"https:\/\/booksby.splitshops.com\/products\/active-machine-learning-with-python-refine-and-elevate-data-quality-over-quantity-with-active-learning-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}