However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Fueled by significant benefits and an impressive portfolio of real-world applications already in production, Rails is destined to continue making significant inroads in coming years.Each new Rails application showing up on the web adds yet more to the collective wisdom of the Rails development community. Yesterday's best practices yield to today's latest and greatest techniques, as the state of the art is continually refined in kitchens all across the Internet. Indeed, these are times of great progress.At the same time, it's easy to get left behind in the wake of progress. Advanced Rails Recipes keeps you on the cutting edge of Rails development and, more importantly, continues to turn this fast-paced framework to your advantage.Advanced Rails Recipes is filled with pragmatic recipes you'll use on every Rails project. And by taking the code in these recipes and slipping it into your application you'll not only deliver your application quicker, you'll do so with the confidence that it's done right.The book includes contributions from Aaron Batalion, Adam Keys, Adam Wiggins, Andre Lewis, Andrew Kappen, Benjamin Curtis, Ben Smith, Chris Bernard, Chris Haupt, Chris Wanstrath, Cody Fauser, Dan Benjamin, Dan Manges, Daniel Fischer, David Bock, David Chelimsky, David Heinemeier Hansson, Erik Hatcher, Ezra Zygmuntowicz, Geoffrey Grosenbach, Giles Bowkett, Greg Hansen, Gregg Pollack, Hemant Kumar, Hugh Bien, Jamie Orchard-Hays, Jamis Buck, Jared Haworth, Jarkko Laine, Jason LaPier, Jay Fields, John Dewey, Jonathan Dahl, Josep Blanquer, Josh Stephenson, Josh Susser, Kevin Clark, Luke Francl, Mark Bates, Marty Haught, Matthew Bass, Michael Slater, Mike Clark, Mike Hagedorn, Mike Mangino, Mike Naberezny, Mike Subelsky, Nathaniel Talbott, PJ Hyett, Patrick Reagan, Peter Marklund, Pierre-Alexandre Meyer, Rick Olson, Ryan Bates, Scott Barron, Tony Primerano, Val Aleksenko, and Warren Konkel.

    The gold standard for attaining security is cryptography because it provides the most reliable tools for storing or transmitting digital information. Written by Niels Ferguson, lead cryptographer for Counterpane, Bruce Schneier's security company, and Bruce Schneier himself, this is the much anticipated follow-up book to Schneier's seminal encyclopedic reference, Applied Cryptography, Second Edition (0-471-11709-9), which has sold more than 150,000 copies. Niels Ferguson (Amsterdam, Netherlands) is a cryptographic engineer and consultant at Counterpane Internet Security. He has extensive experience in the creation and design of security algorithms, protocols, and multinational security infrastructures. Previously, Ferguson was a cryptographer for DigiCash and CWI. At CWI he developed the first generation of off-line payment protocols. He has published numerous scientific papers. Bruce Schneier (Minneapolis, MN) is Founder and Chief Technical Officer at Counterpane Internet Security, a managed-security monitoring company. He is also the author of Secrets and Lies: Digital Security in a Networked World (0-471-25311-1).

    The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

    This revolutionary device: Is Easy to Access Has Excellent Voice Quality Provides Superior Voice Recognition Handles Many Privacy Concerns Has Frequent Software Upgrades Offers Natural-Sounding Voices Allows for Cloud Processing Has Solid, Dependable Hardware What can this book do for you? Amazon Echo: Master Your Amazon Echo; User Guide and Manual teaches you how to use Alexa, how this feature is designed, and how to set it up. You'll learn about: The Body The Blue Light How to Use the Microphones Using Sensors Remote Control Functions Essential Setup Tips You'll find out how to Navigate the Echo and its App, Use the Echo Pen, and Activate your Echo with Voice Command and the remote control. You'll learn to use Bluetooth and connect other home devices to your Echo - including music services! Let Amazon Echo: Master Your Amazon Echo; User Guide and Manual take you by the hand and turn you into an Amazon Echo expert! Download your copy TODAY!

    Download issues at no extra cost from Archived Items. The Economist is the premier source for the analysis of world business and current affairs, providing authoritative insight and opinion on international news, world politics, business, finance, science and technology, as well as overviews of cultural trends and regular Special reports on industries and countries. Established in 1843 to campaign against the protectionist corn laws, The Economist remains, in the second half of its second century, true to the liberal principles of its founder. James Wilson, a hat maker from the small Scottish town of Hawick, believed in free trade, internationalism and minimum interference by government, especially in the affairs of the market. The Economist also takes a fiercely independent stance on social issues, from gay marriage to the legalisation of drugs, but its main service to its readers is as a global newspaper: To uncover new ideas from all around the world. The Kindle Edition of The Economist contains all of the articles and graphics found in the print edition, but will not include all photos. For your convenience, issues are auto-delivered wirelessly to your Kindle each Friday at the same time the print edition hits the newsstand.

    From shopping, to even getting information on flight times, to even tracking when to walk your dog, Alexa can do this. With over 23,000 skills and more being developed each day, Alexa is here to stay and is here to help you. But what can you do with Alexa? What are some of the abilities of Alexa that you can engage in, some that you can use to truly benefit yourself and others? Well, you’re about to find out. Here is a preview of what you'll learn: All of the different Echo devices and what they entail Various tips on how to use them all Tips to use the various features, including shopping Troubleshooting tips in order to have the best Amazon Echo experience Why you might consider getting one over another The capabilities of Alexa, including a whole slew of various things you can inquire from Alexa A comprehensive list of 1001 things to do with Alexa, including valuable tips and tricks You can become the Echo master that you know you can be, and this book is just the beginning of it all. With this, you’ll be able to control your Echo in the way that it’s meant to be, in the ways that you want it to be, and the different natures of this. Become the person that you want to be today, and make sure that you learn about your Echo, since you truly won’t regret it the moment you begin to use it, and you’ll master it even more with every interaction.

    Now in a new revised edition with new illustrations and explanation!! Here Is A Preview Of What You'll Learn... Chapter 1: Introduction To Multi-meters: Manual, Auto Ranging and Analog Chapter 2: Voltage DC & AC Chapter 3: Amperage DC & AC Chapter 4: Resistance, Continuity, Diode and Capacitance Function Chapter 5: Hz & Duty Cycle Chapter 6: Temperature Chapter 7: Graphing Multimeters and Uses Chapter 8: Multimeter Accuracy and Choosing the Right Meter Chapter 9: Miscellaneous Electrical Tips And Tricks &Much, much more! Download Your Copy Today! Now In A New REVISED EDITION Created From Customer Comments and Demands. Take Action And Learn How To Use A Multimeter Fast!! Read on your PC, Mac, smart phone, tablet or Kindle device. Last Revised 6/24/2017 Important Note When Purchasing My Books!! I am constantly updating and adding new content to all my books based off of customer comments & requests. To get the latest version after purchase please go to [Your Account] on the top right of the Amazon homepage. then click [Manage Your Content And Devices], then go to [Setting] and please turn ON your [Automatic Book Updates]. This will allow you to get the latest revised edition after the initial purchase for free . Thank you. (: Tags: Meters Electrical Electric Automotive Household Motorcycles Motorcycle Aviation Diagnosis Testing Circuit Voltmeter Multi-meter Amperage Ohmmeter Temperature Graphing Meters Diodes Capacitors Meter Accuracy Hertz Duty Cycle Tools Troubleshooting How to Diagnostics Beginner Electronics Industrial Circuit Voltmeter Multimeter Tools

    This methodology revealed distinct cyclical patterns that were used to provide the foundation for his forecasting. The wonderful advances in science add to the mix, but are tools to use, not answers that should automatically be accepted as we see with the climate agenda. The lesson in weather, in history, in anything, is that the foundation you stand on today is built from yesterday to reach for tomorrow. The book examines the clash between that philosophy and one that minimizes lessons of the past, or ignores them, and uses climate and weather to simply further an agenda that has very little to do with either. An uncurious media is a willing accomplice in advancing the missive to the population, The Climate Chronicles reveals that clash in an effort to get the reader to search beyond what they are told. As such its a must read for those seeking not an agenda driven answer, but the right answer, wherever it may lead them. Bastardi's goal is not to get you to blindly accept what he says, but to dig in and examine for yourself. The book shows, given the implications of not doing so, more is at stake than just tomorrows weather.

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    Its unique approach communicates the richness and diversity of CIS in a lucid and accessible format. This fully revised and updated second edition reinforces the view of CIS as a gateway to science and problem solving, sets out the scientific principles that govern its use, and describes the impact of people on its development, design, and success. The second edition of Geographic Information Systems and Science includes:A new five-part structure: Foundations; Principles; Techniques; Analysis; and Management and Policy.All-new personality boxes of current GIS practitioners.New real-world applications of GIS.New or expanded coverage of important current topics:Location-based servicesDistributed computingVirtual and augmented realitiesHomeland securityBusiness GIS and geodemographicsThe emergence of geoportalsGrand challenges of GIScienceA new suite of instructor and student resources http://www.wiley.com/go/longleyThe second edition of Geographic Information Systems and Science is essential reading for undergraduates taking courses in GIS within departments of Geography, Environmental Science, Business (and Public) Administration, Computer Science, Urban Studies, Planning, Information Science, Civil Engineering, and Archaeology. It is also provides a key resource for foundation GIS courses on taught MSc and other higher-degree programs. Professional users of GIS from governmental organizations and industries across the private sector will find this book an invaluable resource with a wealth of relevant applications.