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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
A technology book for kids!
Learning how to code can be like learning a foreign language.This book serves as an excellent guide to help you start writing in the odd–looking languages that make the web work. Follow simple steps as you work with real code to build your own web robots.
- Create your robot write code that builds your robot′s body and structure
- Give your bot some style add code lines that customize your robot′s color and shape
- Get your robot moving finish off your robot with code that teaches it how to dance
Hardware PC or tablet with Internet connection running Windows 7 or higher or Mac with Internet connection running Mac OS X 10.7 or higher
Software Web browser to access JSFiddle.net: Google Chrome , Mozilla Firefox, Apple Safari, Microsoft Edge, or Microsoft Internet Explorer version 9.0 or higher
This volume contains the proceedings of the conference Logical Foundations of Mathematics, Computer Science, and Physics-Kurt Goedel's Legacy, held in Brno, Czech Republic on the 90th anniversary of his birth. The wide and continuing importance of Goedel s work in the logical foundations of mathematics, computer science, and physics is confirmed by the broad range of speakers who participated in making this gathering a scientific event.
Help your website be found without spending a fortune.Every webmaster and every website owner wants the same thing: to see their website on Google's first page and to keep it there.SEO Help is a practical, step-by-step guide which in 20 easy-to-understand chapters gives you the kind of practical advice a leading SEO engineer would give you if he were standing over your shoulder and helped you search engine optimize your website. An optimized website gets: - Greater online visibility- More targeted visitors- More online sales and advertising enquiriesWhat usually stops you from succeeding in the online world is the fact that by the time you learn the valuable lessons you need to apply you have also ran out of time and money. SEO Help helps you gain both time and money by showing you how to avoid costly mistakes and apply technical shortcuts which will help you optimize your website fast. Totally accessible, with complete, step-by-step details and no need of any deep know-how, it gives you the distilled knowledge of a successful search engine optimizer. Provided you follow the advice in each one to the letter your website will start to outperform your competitors' and you will be well on your way to search engine dominance and online success.
What will you learn from this book? It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Learn to Code uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
Space Image Processing covers the design and coding of PC software for processing and manipulating imagery obtained by satellites and other spacecraft. Although the contents relate to several scientific and technological fields, it serves as a programming book, providing readers with essential technical information for developing PC applications. The material focuses on images of the planet and other celestial bodies obtained by orbiting and non-orbiting spacecraft. This book is not about raster graphics in general, but about raster graphics processing as it applies to space imagery. Three parts divide the text: oScience - background at an introductory level - scientific principles underlying space imagery and its processing - topics related to space and remote sensing oTechnology - topics related to space imagery - geodesy, cartography, image data formats, image processing oProgramming - code examples for DOS and Windows programming on the PC - consideration of low-level and C++ code - routines with a tutorial and demonstrative purpose Space Image Processing includes a CD-ROM holding all the source code and programs discussed in the text. The CD contains a demo version of the TM-Lab program, a public domain Thematic Mapper scene of the Grand Canyon area, two public domain space image viewers, and sample images.
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You'll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need. Written by Mark Lutz - widely recognized as the world's leading Python trainer - Python Pocket Reference is an ideal companion to O'Reilly's classic Python tutorials, Learning Python and Programming Python, also written by Mark. This fifth edition covers: Built-in object types, including numbers, lists, dictionaries, and more Statements and syntax for creating and processing objects Functions and modules for structuring and reusing code Python's object-oriented programming tools Built-in functions, exceptions, and attributes Special operator overloading methods Widely used standard library modules and extensions Command-line options and development tools Python idioms and hints The Python SQL Database API
Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it's tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you're an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference.Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen
Uses a creative approach to teach the basic skills and concepts of programming quickly. This edition offers excellent insights into problem solving and program design processes. It will also improve comprehension of such computer science considerations as loop invariants and recursion. Includes 60 color line drawings.
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
Build software that combines Python's expressivity with the performance and control of C (and C++). It's possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you'll learn how to use Cython to improve Python's performance - up to 3000x - and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cython's capabilities, with sample code and in-depth practice exercises. If you're just starting with Cython, or want to go deeper, you'll learn how this language is an essential part of any performance-oriented Python programmer's arsenal.Use Cython's static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython - and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython's runtime and compile-time profiling tools Use Cython's prange function to parallelize loops transparently with OpenMP
Welcome to Scientific Python and its community. If you're a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You'll learn how to write elegant code that's clear, concise, and efficient at executing the task at hand. Throughout the book, you'll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you'll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. Explore the NumPy array, the data structure that underlies numerical scientific computation Use quantile normalization to ensure that measurements fit a specific distribution Represent separate regions in an image with a Region Adjacency Graph Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform Solve sparse matrix problems, including image segmentations, with SciPy's sparse module Perform linear algebra by using SciPy packages Explore image alignment (registration) with SciPy's optimize module Process large datasets with Python data streaming primitives and the Toolz libraryv
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. CREATE YOUR OWN SYNCHRONIZED ROBOT ARMY!PLAN, DESIGN, ASSEMBLE, AND PROGRAM ROBOT SQUADS THAT COMMUNICATE and cooperate with each other to accomplish together what they can't do individually. Build Your Own Teams of Robots with LEGO MINDSTORMS NXT and Bluetooth shows you how to construct a team capability matrix (TCM) and use the Bluetooth Robotic-Oriented Network (BRON) so your robot teams can share sensors, actuators, end effectors, motor power, and programs. Find out how the Bluetooth communications protocol works and how to program Bluetooth in NXT-G, NXC, LabVIEW, and Java. Learn how to send and receive Bluetoothmessages, data, and commands among robots, between a robot and a computer, and between an Android smart phone and a robot. Through teamwork, your robots will be able to accomplish amazing feats! THE STEP-BY-STEP ROBOT TEAM PROJECTS IN THE BOOK INCLUDE: * Crime Scene Investigation Robot Team * Robot Convoy * Rubik's Cube Solver LEARN HOW TO: Coordinate multiple robots to work together as a team to perform tasks Combine two or more microcontrollers to make a single, multicontroller/multi-agent robot Take advantage of sensor and actuator capabilities in a team environment Establish goals and teamwork strategies for your robots Control your robot teams with NXT-G Bluetooth bricks and LabVIEW for NXT Bluetooth VI Activate your team using a smart phone Give your team of robots Java power with leJOS Use Java on the Linux and Darwin operating systems Watch video demonstrations of the projects and download code and examples in multiple languages (NXT-G, Java, LabVIEW, and NXC) from the book's companion websiteat www.robotteams.org. Downloads are also available at mhprofessional.com/robotteams.
Numerical, analytical and statistical computations are routine affairs for chemical engineers. They usually prefer a single software to solve their computational problems, and at present, MATLAB has emerged as a powerful computational language, which is preferably used for this purpose, due to its built-in functions and toolboxes. Considering the needs and convenience of the students, the author has made an attempt to write this book, which explains the various concepts of MATLAB in a systematic way and makes its readers proficient in using MATLAB for computing. It mainly focuses on the applications of MATLAB, rather than its use in programming basic numerical algorithms. Commencing with the introduction to MATLAB, the text covers vector and matrix computations, solution of linear and non-linear equations, differentiation and integration, and solution of ordinary and partial differential equations. Next, analytical computations using the Symbolic Math Toolbox and statistical computations using the Statistics and Machine Learning Toolbox are explained. Finally, the book describes various curve fitting techniques using the Curve Fitting Toolbox. Inclusion of all these advanced-level topics in the book stands it out from the rest. Primarily intended for the undergraduate students of chemical engineering, the book is also of immense use to the postgraduate students, chemical engineers and scientists. KEY FEATURES: Numerous worked-out examples to enable the readers understand the steps involved in solving the chemical engineering problems MATLAB codes to explain the computational techniques Several snapshots to help the readers understand the step-by-step procedures of using the toolboxes Chapter-end exercises, including short-answer questions and numerical problems Appendix comprising the definitions of some important and special matrices Supplemented with Solutions Manual containing complete detailed solutions to the unsolved problems Accessibility of selected colour figures (including screenshots and results/outputs of the programs) cited in the text at www.phindia.com/Pallab_Ghosh.
Create your own toys, remote controllers, alarms, detectors, robots, and many other projects with the Arduino device. This simple microcontroller board lets artists and designers build a variety of amazing objects and prototypes that interact with the physical world. With this cookbook you can dive right in and experiment with more than a hundred tips and techniques, no matter what your skill level is. Updated for the Arduino 1.0 release, recipes in the second edition provide solutions for most common problems and questions Arduino users have, including everything from programming fundamentals to working with sensors, motors, lights, and sound, or communicating over wired and wireless networks. You'll find the examples and advice you need to begin, expand, and enhance your projects right away.* Get to know the Arduino development environment * Understand the core elements of the Arduino programming language * Use common output devices for light, motion, and sound * Interact with almost any device that has a remote control * Learn techniques for handling time delays and time measurement * Use simple ways to transfer digital information from sensors to the Arduino device * Create complex projects that incorporate shields and external modules * Use and modify existing Arduino libraries, and learn how to create your own
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Turn your flashes of creativity into first-rate gadgetsCovers Gadgeteer for Micro Framework 4.1 and 4.2 Realize your inner innovator and rapidly build breathtaking electronic devices with Microsoft .NET Gadgeteer. By working through easy-to-follow, practical projects, you'll discover how to design, assemble, and prototype your own gadgets-all without ever lifting a soldering iron. Learn how to choose components, write Gadgeteer applications, connect your creations to the Web, and troubleshoot. Microsoft .NET Gadgeteer: Electronics Projects for Hobbyists and Inventors contains complete instructions for building your projects using money-saving mainboards and modules. Set up the development environment and tools on your PC Understand Gadgeteer mainboards, modules, and sockets Learn how the Micro Framework and Gadgeteer libraries work Download and debug your applications from your PC Learn the principles of writing structured applications for embedded projects Interface with SPI, I2C, and serial-based modules Work with Gadgeteer interfaces for serial and storage devices, graphics, networking, and web-connected devices Design touch-sensitive graphic display gadgets Create web servers and web devices
Tired of reading HTML books that only make sense after you're an expert? Then it's about time you picked up Head First HTML and really learned HTML. You want to learn HTML so you can finally create those web pages you've always wanted, so you can communicate more effectively with friends, family, fans, and fanatic customers. You also want to do it right so you can actually maintain and expand your web pages over time so they work in all browsers and mobile devices. Oh, and if you've never heard of CSS, that's okay--we won't tell anyone you're still partying like it's 1999--but if you're going to create web pages in the 21st century then you'll want to know and understand CSS.Learn the real secrets of creating web pages, and why everything your boss told you about HTML tables is probably wrong (and what to do instead). Most importantly, hold your own with your co-worker (and impress cocktail party guests) when he casually mentions how his HTML is now strict, and his CSS is in an external style sheet.With Head First HTML, you'll avoid the embarrassment of thinking web-safe colors still matter, and the foolishness of slipping a font tag into your pages. Best of all, you'll learn HTML and CSS in a way that won't put you to sleep. If you've read a Head First book, you know what to expect: a visually-rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, this book will load HTML and CSS into your brain in a way that sticks.So what are you waiting for? Leave those other dusty books behind and come join us in Webville. Your tour is about to begin.
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