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Mastering Reverse Engineering: Re-engineer your ethical hacking skills
Mastering Reverse Engineering: Re-engineer your ethical hacking skills

Implement reverse engineering techniques to analyze software, exploit software targets, and defend against security threats like malware and viruses.

Key Features

  • Analyze and improvise software and hardware with real-world examples
  • Learn advanced debugging and patching...
Mobile Forensic Investigations: A Guide to Evidence Collection, Analysis, and Presentation, Second Edition
Mobile Forensic Investigations: A Guide to Evidence Collection, Analysis, and Presentation, Second Edition
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Master the tools and techniques of mobile forensic investigations

...
Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Neural Network Programming with Java
Neural Network Programming with Java

Create and unleash the power of neural networks by implementing professional Java code

About This Book

  • Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
  • Explore the Java multi-platform feature to run your personal neural...
Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)
Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
The Small-Cap Investor: Secrets to Winning Big with Small-Cap Stocks
The Small-Cap Investor: Secrets to Winning Big with Small-Cap Stocks

Praise for The Small-Cap Investor

"The great rewards of investing in the best small-cap companies are matched only by the risks of investing in the worst. Ian Wyatt is one of the few who not only shows you how to find the hidden gems, but also how to avoid the flea-ridden dogs. His new book is a must-read for all...

Matrix computations and semiseparable matrices
Matrix computations and semiseparable matrices

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These...

Applied Security Visualization
Applied Security Visualization
APPLIED SECURITY VISUALIZATION

 

“Collecting log data is one thing, having relevant information is something else. The art to transform all kinds of log data into meaningful security information is the core of this book. Raffy illustrates in a...

Learning Programming using MATLAB (Synthesis Lectures on Electrical Engineering)
Learning Programming using MATLAB (Synthesis Lectures on Electrical Engineering)
Why learn programming? There are several answers to that. Computers are ubiquitous—your car, your mp3 player, the orbiting satellites which provide us with the ability to communicate and the automatic coffee maker all use a computer of some sort. Andcomputers require programming to function. Knowing how to program provides us with a bit of...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Practical Machine Learning
Practical Machine Learning

About This Book

  • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
  • Comprehensive practical solutions taking you into the future of machine learning
  • Go a step further and integrate your machine learning projects with...
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