Author: Publisher:
ISBN:
Category :
Languages : it
Pages : 188
Book Description
400 esercizi svolti di matematica
Author: Matematica di base
Author: Romano ScozzafavaESERCIZI SVOLTI DI MATEMATICA
Author: ERNESTO SALINELLI.Publisher:
ISBN: 9788892187900
Category :
Languages : it
Pages :
Book Description
Italian Books and Periodicals
Author: How is Your MPA Doing?
Author: Robert S. PomeroyPublisher: IUCN
ISBN: 2831707358
Category : Business & Economics
Languages : en
Pages : 234
Book Description
Guidebook which aims to improve MPA management by providing a framework that links the goals and objectives of MPAs with indicators that measure management effectiveness. The framework and indicators were field-tested in 18 sites around the world, and results of these pilots were incorporated into the guidebook. Published as a result of a 4-year partnership of IUCN's World Commission on Protected Areas-Marine, World Wildlife Fund, and the NOAA National Ocean Service International Program Office.
Principles of Electric Circuits
Author: Thomas L. FloydPublisher: Simon & Schuster Books For Young Readers
ISBN:
Category : Electric circuits
Languages : en
Pages : 1032
Book Description
This book provides an exceptionally clear introduction to DC/AC circuits supported by superior exercises, examples, and illustrations--and an emphasis on troubleshooting and applications. It features an exciting full color format which uses color to enhance the instructional value of photographs, illustrations, tables, charts, and graphs. Throughout the book's coverage, the use of mathematics is limited to only those concepts that are needed for understanding. Floyd's acclaimed troubleshooting emphasis, as always, provides learners with the problem solving experience they need for a successful career in electronics. Chapter topics cover components, quantities and units; voltage, current, and resistance; Ohm's Law; energy and power; series circuits; parallel circuits; series-parallel circuits; circuit theorems and conversions; branch, mesh, and node analysis; magnetism and electromagnetism; an introduction to alternating current and voltage; phasors and complex numbers; capacitors; inductors; transformers; RC circuits; RL circuits; RLC circuits and resonance; basic filters; circuit theorems in AC analysis; pulse response of reactive circuits; and polyphase systems in power applications. For electronics technicians, electronics teachers, and electronics hobbyists.
Da Capo
Author: Graziana LazzarinoPublisher: Heinle & Heinle Publishers
ISBN: 9780495797623
Category : Italian language
Languages : en
Pages : 432
Book Description
This Seventh Edition of the best-selling intermediate Italian text, DA CAPO, International Edition, reviews and expands upon all aspects of Italian grammar while providing authentic learning experiences (including new song and video activities) that provide students with engaging ways to connect with Italians and Italian culture. Following the guidelines established by the National Standards for Foreign Language Learning, DA CAPO develops Italian language proficiency through varied features that accommodate a variety of teaching styles and goals. The Seventh Edition emphasizes a well-rounded approach to intermediate Italian, focusing on balanced acquisition of the four language skills within an updated cultural framework.
Game-Based Marketing
Author: Gabe ZichermannPublisher: John Wiley & Sons
ISBN: 0470562234
Category : Business & Economics
Languages : en
Pages : 240
Book Description
Harness the power of games to create extraordinary customer engagement with Game-Based Marketing. Gamification is revolutionizing the web and mobile apps. Innovative startups like Foursquare and Swoopo, growth companies like Gilt and Groupon and established brands like United Airlines and Nike all agree: the most powerful way to create and engage a vibrant community is with game mechanics. By leveraging points, levels, badges, challenges, rewards and leaderboards – these innovators are dramatically lowering their customer acquisition costs, increasing engagement and building sustainable, viral communities. Game-Based Marketing unlocks the design secrets of mega-successful games like Zynga’s Farmville, World of Warcraft, Bejeweled and Project Runway to give you the power to create winning game-like experiences on your site/apps. Avoid obvious pitfalls and learn from the masters with key insights, such as: Why good leaderboards shouldn’t feature the Top 10 players. Most games are played as an excuse to socialize, not to achieve. Status is worth 10x more than cash to most consumers. Badges are not enough: but they are important. You don’t need to offer real-world prizing to run a blockbuster sweepstakes. And learn even more: How to architect a point system that works Designing the funware loop: the basics of points, badges, levels, leaderboards and challenges Maximizing the value and impact of badges Future-proofing your design Challenging users without distraction Based on the groundbreaking work of game expert and successful entrepreneur Gabe Zichermann, Game-Based Marketing brings together the game mechanics expertise of a decade’s worth of research. Driven equally by big companies, startups, 40-year-old men and tween girls, the world is becoming increasingly more fun. Are you ready to play?
Abel Integral Equations
Author: Rudolf GorenfloPublisher: Springer
ISBN: 3540469494
Category : Mathematics
Languages : en
Pages : 225
Book Description
In many fields of application of mathematics, progress is crucially dependent on the good flow of information between (i) theoretical mathematicians looking for applications, (ii) mathematicians working in applications in need of theory, and (iii) scientists and engineers applying mathematical models and methods. The intention of this book is to stimulate this flow of information. In the first three chapters (accessible to third year students of mathematics and physics and to mathematically interested engineers) applications of Abel integral equations are surveyed broadly including determination of potentials, stereology, seismic travel times, spectroscopy, optical fibres. In subsequent chapters (requiring some background in functional analysis) mapping properties of Abel integral operators and their relation to other integral transforms in various function spaces are investi- gated, questions of existence and uniqueness of solutions of linear and nonlinear Abel integral equations are treated, and for equations of the first kind problems of ill-posedness are discussed. Finally, some numerical methods are described. In the theoretical parts, emphasis is put on the aspects relevant to applications.
Make Your Own Neural Network: An In-Depth Visual Introduction for Beginners
Author: Michael TaylorPublisher: Independently Published
ISBN: 9781549869136
Category : Computers
Languages : en
Pages : 250
Book Description
A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow. What you will gain from this book: * A deep understanding of how a Neural Network works. * How to build a Neural Network from scratch using Python. Who this book is for: * Beginners who want to fully understand how networks work, and learn to build two step-by-step examples in Python. * Programmers who need an easy to read, but solid refresher, on the math of neural networks. What's Inside - 'Make Your Own Neural Network: An Indepth Visual Introduction For Beginners' What Is a Neural Network? Neural networks have made a gigantic comeback in the last few decades and you likely make use of them everyday without realizing it, but what exactly is a neural network? What is it used for and how does it fit within the broader arena of machine learning? we gently explore these topics so that we can be prepared to dive deep further on. To start, we'll begin with a high-level overview of machine learning and then drill down into the specifics of a neural network. The Math of Neural Networks On a high level, a network learns just like we do, through trial and error. This is true regardless if the network is supervised, unsupervised, or semi-supervised. Once we dig a bit deeper though, we discover that a handful of mathematical functions play a major role in the trial and error process. It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns. * Forward Propagation * Calculating The Total Error * Calculating The Gradients * Updating The Weights Make Your Own Artificial Neural Network: Hands on Example You will learn to build a simple neural network using all the concepts and functions we learned in the previous few chapters. Our example will be basic but hopefully very intuitive. Many examples available online are either hopelessly abstract or make use of the same data sets, which can be repetitive. Our goal is to be crystal clear and engaging, but with a touch of fun and uniqueness. This section contains the following eight chapters. Building Neural Networks in Python There are many ways to build a neural network and lots of tools to get the job done. This is fantastic, but it can also be overwhelming when you start, because there are so many tools to choose from. We are going to take a look at what tools are needed and help you nail down the essentials. To build a neural network Tensorflow and Neural Networks There is no single way to build a feedforward neural network with Python, and that is especially true if you throw Tensorflow into the mix. However, there is a general framework that exists that can be divided into five steps and grouped into two parts. We are going to briefly explore these five steps so that we are prepared to use them to build a network later on. Ready? Let's begin. Neural Network: Distinguish Handwriting We are going to dig deep with Tensorflow and build a neural network that can distinguish between handwritten numbers. We'll use the same 5 steps we covered in the high-level overview, and we are going to take time exploring each line of code. Neural Network: Classify Images 10 minutes. That's all it takes to build an image classifier thanks to Google! We will provide a high-level overview of how to classify images using a convolutional neural network (CNN) and Google's Inception V3 model. Once finished, you will be able to tweak this code to classify any type of image sets! Cats, bats, super heroes - the sky's the limit.