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Active Machine Learning with Python. Unveiling the Mysteries of the Black Box

(ebook) (audiobook) (audiobook) Książka w języku 1
Active Machine Learning with Python. Unveiling the Mysteries of the Black Box Margaux Masson-Forsythe - okladka książki

Active Machine Learning with Python. Unveiling the Mysteries of the Black Box Margaux Masson-Forsythe - okladka książki

Active Machine Learning with Python. Unveiling the Mysteries of the Black Box Margaux Masson-Forsythe - audiobook MP3

Active Machine Learning with Python. Unveiling the Mysteries of the Black Box Margaux Masson-Forsythe - audiobook CD

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238
Building accurate machine learning models requires quality data - lots of it. For most teams, assembling massive datasets is time-consuming, expensive, or downright impossible. That's where active learning comes in. This hands-on guide shows you how to train robust models with just a fraction of the data using Python's powerful active learning tools.
You'll 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 you'll 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.

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O autorze książki

Margaux Masson-Forsythe is a skilled machine learning engineer and advocate for advancements in surgical data science and climate AI. As the Director of Machine Learning at Surgical Data Science Collective, she builds computer vision models to detect surgical tools in videos and track procedural motions. Masson-Forsythe manages a multidisciplinary team and oversees model implementation, data pipelines, infrastructure, and product delivery. With a background in computer science and expertise in machine learning, computer vision, and geospatial analytics, she has worked on projects related to reforestation, deforestation monitoring, and crop yield prediction.

Packt Publishing - inne książki

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