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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...
Hands-On Bug Hunting for Penetration Testers: A practical guide to help ethical hackers discover web application security flaws
Hands-On Bug Hunting for Penetration Testers: A practical guide to help ethical hackers discover web application security flaws

Detailed walkthroughs of how to discover, test, and document common web application vulnerabilities.

Key Features

  • Learn how to test for common bugs
  • Discover tools and methods for hacking ethically
  • Practice working through pentesting engagements...
Fundamental Mathematical Structures of Quantum Theory: Spectral Theory, Foundational Issues, Symmetries, Algebraic Formulation
Fundamental Mathematical Structures of Quantum Theory: Spectral Theory, Foundational Issues, Symmetries, Algebraic Formulation

This textbook presents in a concise and self-contained way the advanced fundamental mathematical structures in quantum theory. It is based on lectures prepared for a 6 months course for MSc students. The reader is introduced to the beautiful interconnection between logic, lattice theory, general probability theory, and general...

Japanese Outbound Acquisitions: Explaining What Works
Japanese Outbound Acquisitions: Explaining What Works

This book reviews the past 116 Japanese outbound acquisitions in three decades and determines success and failure, with the goal of explaining what works. Dr. Matsumoto emphasizes that such acquisitions are part of a long-term strategy and should not be judged based short-term gains and losses, especially short-term changes in...

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...
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS

Untangle your web scraping complexities and access web data with ease using Python scripts

Key Features

  • Hands-on recipes to advance your web scraping skills to expert level
  • Address complex and challenging web scraping tasks using Python
  • Understand the web...
Howzzat?
Howzzat?
Sherlock Holmes with his fancy hat, magnifying glass and pipe always fascinated me. I was glued to every clue Perry Mason worked on. I would read with anticipation as Ganesh (Vasanth) reconstructed a crime with a seemingly simple object. The way these celebrated detectives worked was really captivating— piecing clues...
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R
Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and
...

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...
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

...
Pattern Recognition, Second Edition
Pattern Recognition, Second Edition
Pattern recognition is becoming increasingly important in the age of automation and information handling and retrieval.
This book provides the most comprehensive treatment available of pattern recognition, from an engineering perspective. Developed through more than ten years of teaching experience, Pattern Recognition is appropriate for both
...
Learning PHP, MySQL, JavaScript, and CSS: A Step-by-Step Guide to Creating Dynamic Websites
Learning PHP, MySQL, JavaScript, and CSS: A Step-by-Step Guide to Creating Dynamic Websites
The combination of PHP and MySQL is the most convenient approach to dynamic, database-driven web design, holding its own in the face of challenges from integrated frameworks—such as Ruby on Rails—that are harder to learn. Due to its open source roots (unlike the competing Microsoft .NET framework), it is...
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