Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

Author: Drew Conway,John Myles White

Publisher: "O'Reilly Media, Inc."

ISBN: 1449330533

Category: Computers

Page: 324

View: 1094

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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
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Cool Careers Without College for People Who Love Coding

Author: Asher Powell

Publisher: The Rosen Publishing Group, Inc

ISBN: 1508175373

Category: Juvenile Nonfiction

Page: 112

View: 4463

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This comprehensive career guide helps readers take a close look at coding as a career path and gives them a long, actionable list for turning their interests into a career across a variety of fields. Whether a student is interested in games, engineering, design, or systems administration, each career path comes with a detailed list of resources and first-person accounts from professionals in the field. This guide is all a coding enthusiast needs to get started planning and building a career, all without having to worry about student loans.
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Machine Learning with R

Author: Brett Lantz

Publisher: Packt Publishing Ltd

ISBN: 1782162151

Category: Computers

Page: 396

View: 5424

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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
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Hands-On Machine Learning for Cybersecurity

Safeguard your system by making your machines intelligent using the Python ecosystem

Author: Soma Halder,Sinan Ozdemir

Publisher: Packt Publishing Ltd

ISBN: 178899096X

Category: Computers

Page: 318

View: 5195

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Get into the world of smart data security using machine learning algorithms and Python libraries Key Features Learn machine learning algorithms and cybersecurity fundamentals Automate your daily workflow by applying use cases to many facets of security Implement smart machine learning solutions to detect various cybersecurity problems Book Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learn Use machine learning algorithms with complex datasets to implement cybersecurity concepts Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes Use TensorFlow in the cybersecurity domain and implement real-world examples Learn how machine learning and Python can be used in complex cyber issues Who this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
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Business Analytics Using R - A Practical Approach

Author: Umesh R Hodeghatta,Umesha Nayak

Publisher: Apress

ISBN: 1484225147

Category: Computers

Page: 280

View: 5294

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Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.
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Credible Threat

Author: J.A. Jance

Publisher: Simon and Schuster

ISBN: 1982131098

Category: Fiction

Page: 336

View: 2539

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Ali Reynolds and her team at High Noon Enterprises must race against the clock to save an archbishop who faces mysterious death threats in yet another “incredible” (Suspense Magazine) installment of J.A. Jance’s New York Times bestselling series. Years after her son’s fatal overdose, grieving mother Rachel Higgins learns that his addiction may have grown out of damage suffered at the hands of a pedophile priest while he was in high school. Looking for vengeance, she targets the Catholic Church’s most visible local figure, Archbishop Francis Gillespie. When the archbishop begins receiving anonymous threats, local police dismiss them, saying they’re not credible. So he turns to his friends, Ali Reynolds and her husband, B. Simpson. With B. out of the country on a cybersecurity emergency, it’s up to Ali to track down the source of the threats. When a shooter assassinates the archbishop’s driver and leaves the priest himself severely injured, Ali forms an uneasy alliance with a Phoenix homicide cop in hopes of preventing another attack. But Ali doesn’t realize that the killer has become not only more unhinged but also more determined to take out his or her target.
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Handbook of Computer Networks and Cyber Security

Principles and Paradigms

Author: Brij B. Gupta,Gregorio Martinez Perez,Dharma P. Agrawal,Deepak Gupta

Publisher: Springer Nature

ISBN: 3030222772

Category: Computers

Page: 959

View: 5082

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This handbook introduces the basic principles and fundamentals of cyber security towards establishing an understanding of how to protect computers from hackers and adversaries. The highly informative subject matter of this handbook, includes various concepts, models, and terminologies along with examples and illustrations to demonstrate substantial technical details of the field. It motivates the readers to exercise better protection and defense mechanisms to deal with attackers and mitigate the situation. This handbook also outlines some of the exciting areas of future research where the existing approaches can be implemented. Exponential increase in the use of computers as a means of storing and retrieving security-intensive information, requires placement of adequate security measures to safeguard the entire computing and communication scenario. With the advent of Internet and its underlying technologies, information security aspects are becoming a prime concern towards protecting the networks and the cyber ecosystem from variety of threats, which is illustrated in this handbook. This handbook primarily targets professionals in security, privacy and trust to use and improve the reliability of businesses in a distributed manner, as well as computer scientists and software developers, who are seeking to carry out research and develop software in information and cyber security. Researchers and advanced-level students in computer science will also benefit from this reference.
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