Forecasting: Principles and Practice
Rob J. Hyndman - 2013
Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.
Neural Networks for Pattern Recognition
Christopher M. Bishop - 1996
After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layerperceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Nathan Yau - 2011
Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
Numerical Recipes in C: The Art of Scientific Computing
William H. Press - 1988
In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.
Complexity: A Very Short Introduction
John H. Holland - 2014
From the movement of flocks of birds to the Internet, environmental sustainability, and market regulation, the study and understanding of complex non-linear systems has become highly influential over the last 30 years.In this Very Short Introduction, one of the leading figures in the field, John Holland, introduces the key elements and conceptual framework of complexity. From complex physical systems such as fluid flow and the difficulties of predicting weather, to complex adaptive systems such as the highly diverse and interdependent ecosystems of rainforests, he combines simple, well-known examples -- Adam Smith's pin factory, Darwin's comet orchid, and Simon's 'watchmaker' -- with an account of the approaches, involving agents and urn models, taken by complexity theory.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Introduction to Computation and Programming Using Python
John V. Guttag - 2013
It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.
Make Your Own Neural Network: An In-depth Visual Introduction For Beginners
Michael Taylor - 2017
A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.
Machine Learning for Hackers
Drew Conway - 2012
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 naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data
Kindle Fire HDX & HD User's Guide Book: Unleash the Power of Your Tablet!
Shelby Johnson - 2012
With the new tablet, I absolutely love its many standard features and capabilities, but have found there is so much more that can be done with this amazing gadget. I’ve learned a lot of great things you can do with a Kindle Fire HD and want to help others get more out of their Kindle Fire HDX and HD devices. I've developed a comprehensive guide book to help users along on their device, including tips and tricks to really unlock and unleash the possibilities with the tablet. Here’s just some of the great info you’ll find in this User’s Guide Book: - Getting to know the various settings of your Kindle Fire HDX or HD - Browsing your Kindle and carousel - How to store your favorite content items on the device - Setting up security options to safeguard your device - Setting up your e-mail, contacts and calendar info - Setting up and using wireless networks - How to print from your Kindle Fire HD - How to install the Dolphin Browser with Adobe Flash - How to install the Google Chrome browser on your tablet - Pairing your Kindle Fire HD with a compatible Bluetooth phone or computer - How to set-up FreeTime for your kids to use your Kindle with restrictions - How to listen to the radio on your tablet - How to use your tablet to make phone calls for free! - How to download YouTube videos to your Kindle Fire HD - How to take photos and videos with your Kindle Fire HD camera - How to sideload apps on your Kindle Fire HD - Some of the best apps you can get for your tablet - Suggested apps to take your tablet to the next level! You’ll learn all of the above and more in this book which features color screenshots straight from the Kindle and step-by-step instructions on the processes involved in unleashing more powerful features for your Kindle Fire HD! There's also helpful links throughout the guide to take you right to the apps and websites being discussed. In all, this is a must-have ebook to get for any Kindle Fire HD user who wants to take their device to the next level! Note: Many of the tips and how-to's covered in this guide will also apply to the previous generation of the Kindle Fire HD, released in 2012. Please note this book is for owners of the American version of the Kindle Fire HDX & Kindle Fire HD tablets sold as of October 2013 in the United States.
A Practical Guide to Quantitative Finance Interviews
Xinfeng Zhou - 2008
In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.
The Docker Book: Containerization is the new virtualization
James Turnbull - 2014
In this book, we'll will walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks. We're going to take you through the development life cycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself. We'll teach you how to: * Install Docker. * Take your first steps with a Docker container. * Build Docker images. * Manage and share Docker images. * Run and manage more complex Docker containers. * Deploy Docker containers as part of your testing pipeline. * Build multi-container applications and environments. * Explore the Docker API. * Getting Help and Extending Docker.
Complex Adaptive Systems: An Introduction to Computational Models of Social Life
John H. Miller - 2007
Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
The Kindle Fire HDX User Guide (Beginner to Expert in 1 Hour)
Charles Tulley - 2013
Amazon Echo: 2017 Edition - User Guide and Manual - Learn It Live It Love It
Dominic West - 2016
It’s compatible with a vast array of other electronics and online platforms. It can answer questions, control smart devices, play music, and more. It responds to the names “Echo” and “Alexa”.
What does this book offer?
Amazon Echo: The Ultimate Guide To Amazon Echo – 2017 Edition explains how you can best use the Echo’s wealth of powerful features: Setting Up Your Echo for the First Time Interacting Verbally with Alexa Setting Up Pandora on Your Echo Connecting your Google Calendar to Your Echo Amazon Echo IFTTT Channel Advice Fun (and Sleepy time) Echo Activities for Kids! Making Echo Part of Your Fitness Routine and even Streamlining Your Business with Echo!
Who is Alexa?
Alexa is your cloud-based, voice-activated personal assistant. Unlike other digital assistants, she has a smooth, life-like voice and an incredible variety of skills. She’s your new best friend – in a box! When you download Amazon Echo: The Ultimate Guide To Amazon Echo – 2017 Edition, you’ll find out how to engage with Alexa and maximize your use of her powerful skills. As you use your Echo, Alexa adapts to your speech patterns, vocabulary, and personal preferences. You can even download and install the Alexa Skills Kit to install her on your other devices!
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