Machine Learning For Email
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Machine Learning For Email
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Author : Drew Conway
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-10-25
Machine Learning For Email written by Drew Conway and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-25 with Computers categories.
If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation. This book also includes a short tutorial on using the popular R language to manipulate and analyze data. You’ll get clear examples for analyzing sample data and writing machine learning programs with R. Mine email content with R functions, using a collection of sample files Analyze the data and use the results to write a Bayesian spam classifier Rank email by importance, using factors such as thread activity Use your email ranking analysis to write a priority inbox program Test your classifier and priority inbox with a separate email sample set
Machine Learning For Hackers
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Author : Drew Conway
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-02-13
Machine Learning For Hackers written by Drew Conway and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-13 with Computers categories.
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
International Conference On Innovative Computing And Communications
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Author : Ashish Khanna
language : en
Publisher: Springer Nature
Release Date : 2021-08-31
International Conference On Innovative Computing And Communications written by Ashish Khanna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Technology & Engineering categories.
This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
2021 Ieee Smartworld Ubiquitous Intelligence And Computing Advanced And Trusted Computing Scalable Computing And Communications Internet Of People And Smart City Innovation Smartworld Scalcom Uic Atc Iop Sci
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-10-18
2021 Ieee Smartworld Ubiquitous Intelligence And Computing Advanced And Trusted Computing Scalable Computing And Communications Internet Of People And Smart City Innovation Smartworld Scalcom Uic Atc Iop Sci written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-18 with categories.
The smart world is set to enhance everyday things with abilities of sensation, communication, computation and intelligence so that many tasks and processes could be simplified, efficient, and enjoyable It consists of numerous smart things that can be endowed with different levels forms of intelligence and be connected together for a network level of intelligence At the same time, the fairness and ethics in utilizing such an intelligence is of extreme importance Research on ubiquitous and trustworthy smart world is an emerging research field covering many interdisciplinary areas that benefits humanity and will have significant societal impacts
Hands On Machine Learning For Cybersecurity
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Author : Soma Halder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31
Hands On Machine Learning For Cybersecurity written by Soma Halder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook 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 learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho 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
Grokking Machine Learning
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Author : Luis Serrano
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-14
Grokking Machine Learning written by Luis Serrano and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Computers categories.
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.
Machine Learning For Email
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Author : Drew Conway
language : en
Publisher:
Release Date : 2011
Machine Learning For Email written by Drew Conway and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electrical engineering categories.
Modeling Intention In Email
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Author : Vitor R. Carvalho
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-06
Modeling Intention In Email written by Vitor R. Carvalho and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-06 with Computers categories.
Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks.
Artificial Intelligence And Email
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Author : Vijay Kumar Yadav
language : en
Publisher: Vijay Kumar Yadav
Release Date :
Artificial Intelligence And Email written by Vijay Kumar Yadav and has been published by Vijay Kumar Yadav this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Explore the dynamic intersection of artificial intelligence (AI) and email in this comprehensive guide that uncovers how AI is revolutionizing communication. From the origins and evolution of email to the foundational principles of AI, this book delves into the significant milestones and modern advancements shaping email today. Discover how AI-powered email management tools enhance productivity through intelligent filtering, smart inbox organization, and advanced spam detection. Learn about the personalization and customization possibilities AI brings, including tailored responses, content suggestions, and targeted marketing strategies. Security and privacy are paramount in the digital age, and this book addresses AI’s role in safeguarding email communications against threats like phishing and ensuring data compliance. With a detailed look at AI in email marketing, voice-activated email management, and integration with virtual assistants, you’ll gain insights into real-world applications and success stories that highlight best practices and lessons learned. Facing challenges and ethical considerations head-on, this book discusses addressing AI bias, ethical AI usage, and balancing automation with a human touch. Finally, it offers predictions for the future and practical advice for preparing for the AI-driven email landscape. Perfect for professionals and enthusiasts alike, this book is your ultimate guide to understanding and leveraging AI in email communication.