4717729Active Machine Learning with Pythonhttps://www.gandhi.com.mx/active-machine-learning-with-python-9781835462683/phttps://gandhi.vtexassets.com/arquivos/ids/4075162/image.jpg?v=638476118455900000665739MXNPackt PublishingInStock/Ebooks/4473843Active Machine Learning with Python665739https://www.gandhi.com.mx/active-machine-learning-with-python-9781835462683/phttps://gandhi.vtexassets.com/arquivos/ids/4075162/image.jpg?v=638476118455900000InStockMXN99999DIEbook20249781835462683_W3siaWQiOiIyZWM5YzZjYS00Y2U5LTRlYWItYTA0YS03MjdlOGRkZjkwY2MiLCJsaXN0UHJpY2UiOjczOSwiZGlzY291bnQiOjc0LCJzZWxsaW5nUHJpY2UiOjY2NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMTdUMTc6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781835462683_<p><b>Solve complex big data challenges by unleashing the power of active machine learning with Python</b></p><h2>Key Features</h2><ul><li>Learn how to implement a pipeline to get the best model using your large datasets, at lower costs</li><li>Gain to more profound insights within your data, while achieving greater efficiency and speed</li><li>Apply your knowledge to real world use cases and solve complex ML problems</li></ul><h2>Book Description</h2>Building accurate machine learning models requires quality data - lots of it. For most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. Thats where active learning comes in. This hands-on guide shows you how to train robust models with just a fraction of the data using Pythons powerful active learning tools. Youll start by mastering the fundamental techniques of active learning like membership query synthesis, stream-based sampling, and pool-based sampling. See how little data you need to tackle common challenges like class imbalance, concept drift, and more. Then dive into the practice of active learning, constructing query strategies, analyzing model performance, and selecting optimal training sets. By the end of the book youll be able to apply active learning to solve real-world problems in sectors from computer vision to natural language processing. Unlock the true potential of your data with Active Machine Learning and Python. Start building better ML with less today.<h2>What you will learn</h2><ul><li>Learn the fundamentals of active machine learning</li><li>Understand query strategies for optimal model training with minimal data</li><li>Discover how to tackle class imbalance, concept drift, and other data challenges</li><li>Evaluate and analyze active learning model performance</li><li>Integrate active learning libraries into workflows effectively</li><li>Optimize workflows for human labellers</li><li>Harness active learning for computer vision and NLP tasks</li><li>Explore the finest active learning tools available today</li></ul><h2>Who this book is for</h2><p>This book is perfect for data scientists and ML engineers who want to maximize model performance while minimizing costly data labelling. Through hands-on examples, youll learn active learning techniques to train precise models with carefully curated, high-quality datasets - no need for massive volumes of random data. Both technical practitioners and team leads will discover proven methods to slash data requirements and iterate faster. If you want to optimize your ML workflows, this is your guide to the art of quality over quantity.</p>...9781835462683_Packt Publishinglibro_electonico_9781835462683_9781835462683Margaux Masson-ForsytheInglésMéxico2024-03-29T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-fb52663d-37ac-4ba5-9b36-e1bdcdd9fa5f.epub2024-03-29T00:00:00+00:00Packt Publishing