Machine Learning For Dummies

Filename: machine-learning-for-dummies.pdf
ISBN: 9781119245773
Release Date: 2016-05-11
Number of pages: 432
Author: John Paul Mueller
Publisher: John Wiley & Sons

Download and read online Machine Learning For Dummies in PDF and EPUB Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!


Machine Learning

Filename: machine-learning.pdf
ISBN: 9780262529518
Release Date: 2016-10-07
Number of pages: 224
Author: Ethem Alpaydin
Publisher: MIT Press

Download and read online Machine Learning in PDF and EPUB A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.


Android Apps for Absolute Beginners

Filename: android-apps-for-absolute-beginners.pdf
ISBN: 9781430247883
Release Date: 2012-11-28
Number of pages: 400
Author: Wallace Jackson
Publisher: Apress

Download and read online Android Apps for Absolute Beginners in PDF and EPUB Anybody can start building simple apps for the Android platform, and this book will show you how! Recently updated to include Android Jelly Bean, Android Apps for Absolute Beginners, Second Edition takes you through the process of getting your first Android apps up and running using plain English and practical examples. This book cuts through the fog of jargon and mystery that surrounds Android apps development, and gives you simple, step-by-step instructions to get you started. Teaches Android application development in language anyone can understand, giving you the best possible start in Android development Provides simple, step-by-step examples that make learning easy, allowing you to pick up the concepts without fuss Offers clear code descriptions and layout so that you can get your apps running as soon as possible This book is Android Jelly Bean compliant, but is backwards compatible to most of the previous Android releases. What you’ll learn Get yourself and your computer set up for Android apps development Use the Eclipse programming environment to make your Android development efficient and straightforward Follow steps in plain English to build simple apps and get them working immediately Style your application so that it appeals to potential users Make use of the Android’s touch screen Use shortcuts and cheat sheets to create apps the easy way Use the basics of Java and XML to move onto more advanced apps Who this book is for If you have a great idea for an Android app, but have never programmed before, then this book is for you. You don’t need to have any previous computer programming skills—as long as you have a desire to learn, and you know which end of the mouse is which, the world of Android apps development awaits!


Fundamentals of Machine Learning for Predictive Data Analytics

Filename: fundamentals-of-machine-learning-for-predictive-data-analytics.pdf
ISBN: 9780262029445
Release Date: 2015-07-24
Number of pages: 624
Author: John D. Kelleher
Publisher: MIT Press

Download and read online Fundamentals of Machine Learning for Predictive Data Analytics in PDF and EPUB A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.


Data Mining

Filename: data-mining.pdf
ISBN: 9780128043578
Release Date: 2016-10-01
Number of pages: 654
Author: Ian H. Witten
Publisher: Morgan Kaufmann

Download and read online Data Mining in PDF and EPUB Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book


Hands On Machine Learning with Scikit Learn and TensorFlow

Filename: hands-on-machine-learning-with-scikit-learn-and-tensorflow.pdf
ISBN: 1491962291
Release Date: 2017-04
Number of pages: 566
Author: Aurélien Géron
Publisher: O'Reilly Media

Download and read online Hands On Machine Learning with Scikit Learn and TensorFlow in PDF and EPUB Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aur�lien G�ron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details


Computer Science Distilled

Filename: computer-science-distilled.pdf
ISBN: 0997316004
Release Date: 2017-01-01
Number of pages: 170
Author: Wladston Ferreira Filho
Publisher:

Download and read online Computer Science Distilled in PDF and EPUB


Python Machine Learning

Filename: python-machine-learning.pdf
ISBN: 9781783555147
Release Date: 2015-09-23
Number of pages: 454
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd

Download and read online Python Machine Learning in PDF and EPUB Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.


Introduction to Machine Learning

Filename: introduction-to-machine-learning.pdf
ISBN: 9780262028189
Release Date: 2014-08-29
Number of pages: 640
Author: Ethem Alpaydin
Publisher: MIT Press

Download and read online Introduction to Machine Learning in PDF and EPUB The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.


Raspberry Pi with Java Programming the Internet of Things IoT

Filename: raspberry-pi-with-java-programming-the-internet-of-things-iot.pdf
ISBN: 9780071842020
Release Date: 2015-10-23
Number of pages: 384
Author: Stephen Chin
Publisher: McGraw Hill Professional

Download and read online Raspberry Pi with Java Programming the Internet of Things IoT in PDF and EPUB Use Raspberry Pi with Java to create innovative devices that power the internet of things! Raspberry Pi with Java: Programming the Internet of Things (IoT) fills an important gap in knowledge between seasoned Java developers and embedded-hardware gurus, taking a project-based approach to skills development from which both hobbyists and professionals can learn. By starting with simple projects based on open-source libraries such as Pi4J, hobbyists can get immediate results without a significant investment in time or hardware. Later projects target simplified industrial use cases where professionals can start to apply their skills to practical problems in the fields of home automation, healthcare, and robotics. This progression prepares you to be an active participant in the IoT revolution that is reshaping our lives. For the hobbyist: Hardware used in projects is affordable and easily accessible Follows a project-based learning approach with a gradual learning curve Projects are based on open-source code repositories with commercial friendly licenses For the professional computer engineer: Uses an industry-standard platform that allows for high performance, secure, production-ready applications Introduces Java SE Embedded for large devices and Java ME Embedded for small devices Code is portable to a wide variety of ARM and MIPS based platforms Provides practical skill development with advanced projects in the fields of home automation, healthcare, and robotics


Computers For Seniors For Dummies

Filename: computers-for-seniors-for-dummies.pdf
ISBN: 9781118232439
Release Date: 2012-10-26
Number of pages: 408
Author: Nancy C. Muir
Publisher: John Wiley & Sons

Download and read online Computers For Seniors For Dummies in PDF and EPUB The bestselling guide to choosing a computer and getting online, fully updated for Windows 8! Whether you use your computer for bookkeeping, making travel plans, socializing, shopping, or just plain fun, computers are now an essential part of daily life. But it can be overwhelming to keep up with the technology as it continually evolves. This clear, friendly guide not only gets you up to speed on computer basics, it also covers the very latest information, like the changes you?ll see with Windows 8. You'll learn to use the keyboard and mouse, navigate the Windows 8 operating system, access the Internet, create documents, keep safe online, and more. Packed with screenshots and illustrations, the new edition of this popular book is easy to follow, never intimidating, and always helpful. Starts with the basics and assumes no prior knowledge of computers Updates your current skills for the latest technology changes, such as the Windows 8 operating system Explains how to connect to the Internet, keep up with family and friends via e-mail and social media, find recipes and health information, book travel, manage your budget, and much more Shows you how to organize documents, work with files and folders, manage pictures and videos, and customize your desktop and system Offers tips and advice to help you avoid common pitfalls Take on technology with confidence and take advantage of all your computer can do with Computers for Seniors For Dummies, 3rd Edition!


Python for Kids

Filename: python-for-kids.pdf
ISBN: 9781593274078
Release Date: 2013
Number of pages: 344
Author: Jason R. Briggs
Publisher: No Starch Press

Download and read online Python for Kids in PDF and EPUB Introduces the basics of the Python programming language, covering how to use data structures, organize and reuse code, draw shapes and patterns with turtle, and create games and animations with tkinter.


Coding For Dummies

Filename: coding-for-dummies.pdf
ISBN: 9781119296072
Release Date: 2016-05-27
Number of pages: 288
Author: Nikhil Abraham
Publisher: John Wiley & Sons

Download and read online Coding For Dummies in PDF and EPUB Coding For Dummies, (9781119293323) was previously published as Coding For Dummies, (9781118951309). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. Hands-on exercises help you learn to code like a pro No coding experience is required for Coding For Dummies, your one-stop guide to building a foundation of knowledge in writing computer code for web, application, and software development. It doesn't matter if you've dabbled in coding or never written a line of code, this book guides you through the basics. Using foundational web development languages like HTML, CSS, and JavaScript, it explains in plain English how coding works and why it's needed. Online exercises developed by Codecademy, a leading online code training site, help hone coding skills and demonstrate results as you practice. The site provides an environment where you can try out tutorials built into the text and see the actual output from your coding. You'll also gain access to end-of-chapter challenges to apply newly acquired skills to a less-defined assignment. So what are you waiting for? The current demand for workers with coding and computer science skills far exceeds the supply Teaches the foundations of web development languages in an easy-to-understand format Offers unprecedented opportunities to practice basic coding languages Readers can access online hands-on exercises and end-of-chapter assessments that develop and test their new-found skills If you're a student looking for an introduction to the basic concepts of coding or a professional looking to add new skills, Coding For Dummies has you covered.


Data Analytics

Filename: data-analytics.pdf
ISBN: 1542631505
Release Date: 2017-01-19
Number of pages: 106
Author: Cedric Nix
Publisher: Createspace Independent Publishing Platform

Download and read online Data Analytics in PDF and EPUB Analytics is a vital part of the business world we live in today. Without a detailed analysis of market conditions and other factors it would be impossible to tell if any new venture, whether it be a new business or the revamp of an old one, would be profitable. Data Analytics: Insider's Guide to Master Data Analytics will help you to better understand the complexities of data analytics. It will show you the benefits it can have for your business and how to make the best decisions. The chapters include detailed information on; The basics of analytics Techniques for data analysis Genetic algorithms Regression analysis Social network analysis And much more... The benefits of understanding data analysis will help your business to prosper and expand in the right directions, cutting down on risk and creating greater profitability. The Insider's Guide to Master Data Analytics is a book which is thorough and complete, delivering all the information you'll ever need, in one handy book and providing you with real life examples of those businesses that got it right. Get you copy today and see your business thrive for tomorrow.


Hands On Machine Learning with Scikit Learn and TensorFlow

Filename: hands-on-machine-learning-with-scikit-learn-and-tensorflow.pdf
ISBN: 9781491962268
Release Date: 2017-03-13
Number of pages: 566
Author: Aurélien Géron
Publisher: "O'Reilly Media, Inc."

Download and read online Hands On Machine Learning with Scikit Learn and TensorFlow in PDF and EPUB Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details