Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Image 1

£44.99

Chapman and Hall/CRC Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Name: Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Brand: Chapman and Hall/CRC
Price: 44.99 GBP
Availability: InStock

Econometrics

This is the most expensive it has ever been. Walk away.

£45 today · previous high £45 · all-time low £41

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 279 days • 279 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 279 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £41 (150 days, 53.8%)

Price range: £41 - £45

Price levels: 4 different prices over 279 days

Description

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks. Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book. Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http://www.cs.sjsu.edu/~stamp/ML/.

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032207175
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 19 December 2024
Listed Since: 24 October 2024

Barcode

No barcode data available

Chapman and Hall/CRC Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics: 4 (Springer Series in Bio-/Neuroinformatics, 4)

Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)

Handbook of Research on AI and ML for Intelligent Machines and Systems

Neural Networks and Deep Learning: A Textbook

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference: Proceedings of the EANN 2020: 2 (Proceedings of the International Neural Networks Society, 2)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Neural Networks and Deep Learning: A Textbook

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics: 4 (Springer Series in Bio-/Neuroinformatics, 4)

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021: 3 (Proceedings of the International Neural Networks Society, 3)

Advances in Computer Science for Engineering and Education III: 1247 (Advances in Intelligent Systems and Computing, 1247)

Math and Architectures of Deep Learning

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Recent Advances in Information and Communication Technology 2018: Proceedings of the 14th International Conference on Computing and Information ... in Intelligent Systems and Computing, 769)

Springer Deep Learning: Concepts and Architectures 866 Book

Deep Learning Approaches to Cloud Security (Advances in Cyber Security)

Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Machine Learning and Artificial Intelligence