Active Machine Learning with Python

Name: Active Machine Learning with Python
Brand: Packt Publishing
SKU: 04473843

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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_<p><b>Use 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</b></p><h2>Key Features</h2><ul><li>Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs</li><li>Gain 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><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>Building accurate machine learning models requires quality datalots 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 Pythons powerful active learning tools. Youll 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, youll 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. Youll also assess the effectiveness and efficiency of active machine learning systems through performance evaluation. By the end of the book, youll be able to enhance your active learning projects by leveraging Python libraries, frameworks, and commonly used tools.<h2>What you will learn</h2><ul><li>Master the fundamentals of active machine learning</li><li>Understand query strategies for optimal model training with minimal data</li><li>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 labelers</li><li>Explore the finest active learning tools available today</li></ul><h2>Who this book is for</h2><p>Ideal 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 youre a technical practitioner or team lead, youll benefit from the proven methods presented in this book to slash data requirements and iterate faster. Basic Python proficiency and familiarity with machine learning concepts such as datasets and convolutional neural networks is all you need to get started. </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