Beginning Anomaly Detection Using Python-Based Deep Learning

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With Keras and PyTorch

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With Keras and PyTorch

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection.
By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch.
What You Will Learn

Understand what anomaly detection is and why it is important in today's world

Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn

Know the basics of deep learning in Python using Keras and PyTorch

Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more

Apply deep learning to semi-supervised and unsupervised anomaly detection

Who This Book Is For
Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

تاریخ انتشار

2019

نویسنده

Suman Kalyan Adari

ناشر

Apress

شابک

9781484251775

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Beginning Anomaly Detection Using Python-Based Deep Learning

Beginning Anomaly Detection Using Python-Based Deep Learning

گزارش تخلف

فرمت کتاب

ebook

تاریخ انتشار

2019

نویسنده

ناشر

شابک

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