Описание: Make amazing robots and gadgets by combining two of the hottest DIY technologies: the venerable LEGO and the upstart Arduino. With this book, you`ll focus on six projects, each more challenging and informative than the next. In each project, you`ll explore different ways that Arduino adds functionality to LEGO Mindstorms.
Автор: Warren J Название: Arduino Robotics ISBN: 1430231831 ISBN-13(EAN): 9781430231837 Издательство: Springer Рейтинг: Цена: 4745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will show you how to use your Arduino to control a variety of different robots, while providing step-by-step instructions on the entire robot building process.
Are you ready to take your Arduino programming skills as a maker to the next level and discover the best technology the Arduino ecosystem has to offer? If yes, then keep reading...
If you've outgrown the basics of Arduino and want to master the numero uno microcontroller board used today in a variety of critical industries for rapid prototyping, then this is the only book you're going to need to become an expert in Arduino.
Arduino has managed to take the world of Makers by storm. It is rugged, open-source, highly customizable and cost-effective, making it a darling of hobbyists and electronics enthusiasts everywhere.
In this highly actionable guide, you're going to discover advanced concepts and learn more about the tools and concepts used for more complex Arduino projects. You'll also discover insights that will take you from an Arduino hobbyist to understanding underlying hardware and protocols, giving you the confidence you need to solve complicated Arduino programming tasks.
Here's a snippet of what you're going to learn in Arduino for Intermediates
All you need to know about functions in Arduino programming
The intricate link between mathematical functions and Arduino
Optimizing calculations in Arduino
Everything you need to know about Bit Shift operations in Arduino
Processing digital inputs effectively with Arduino
The "debounce" concept and how it applies to Arduino programming
Step-by-step instructions to using LEDs for visual output feedbacks
A crash guide to movements in Arduino-from the piezoelectric sensor to servomotors
How to improve data storage with Arduino programming
Surefire techniques to help you work with GPS modules without breaking a sweat
Networking with Arduino-Layers and protocols, IP addresses and ports, wired Ethernet, Bluetooth and Wi-Fi
...and tons more
Designed for intermediate and advanced Arduino users, this guide will help you build some projects using LEDs, piezoelectric sensors, servomotors, Bluetooth modules and more, as well as show you how to connect all these pieces together to build a bigger Arduino project that functions extremely well and solves real-world problems.
Scroll to the top of the page and hit the "Add to Cart" button to upgrade your Arduino skills today
Описание: Learning about robotics will become an essential skill as it will be a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface. The main aim of the book is to teach you how to build an autonomous mobile robot from scratch.
Автор: Mcroberts, Michael Название: Beginning arduino ISBN: 143025016X ISBN-13(EAN): 9781430250166 Издательство: Springer Рейтинг: Цена: 4186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The color fritzing diagrams are available in the source code downloads on http://www.apress.com/9781430250166
Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware.
Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. No machine learning or microcontroller experience is necessary.
Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detection
Train models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platforms
Understand how to work with Arduino and ultralow-power microcontrollers
Use techniques for optimizing latency, energy usage, and model and binary size
Автор: Sunila Gollapudi Название: Learn Computer Vision Using OpenCV ISBN: 1484242602 ISBN-13(EAN): 9781484242605 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python.
The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV.
Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.
After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work. What You Will LearnUnderstand what computer vision is, and its overall application in intelligent automation systemsDiscover the deep learning techniques required to build computer vision applicationsBuild complex computer vision applications using the latest techniques in OpenCV, Python, and NumPyCreate practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysisWho This Book Is ForThose who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.
Описание: If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading...
Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible.What are some points you will learn in this book?- Artificial Intelligence: How Does it Work? How is it Used?- The Key Elements of Machine Learning- Machine Learning vs Deep Learning- Data Science vs Business Intelligence- The Data Science Lifecycle- The Value of Big Data Explained to a Child- 4 Tips for Data Cleaning and Organizing Your Data- Python Data Analysis 360 - 6 Different Machine Learning Algorithms- How to Handle Data VisualizationsPython for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Buy now to find out about Python for Data Science.
Описание: If you want to become the best programmer among your competitors and outperform the competition with a clear and complete approach without becoming frustrated trying to understand the big data, then keep reading... Computer programmers are increasingly in demand in the world. It is estimated that over 50% of companies fail to hire Python programmers because there are not enough advanced and prepared programmers. Don't you think it is smart to have adequate training regarding the Python language to outperform the competition and be able to work always and in every situation, even with the competition in today's world? The problem, however, is that the world is full of books and technical courses that are not able to easily explain the Python programming language and teach how to analyze the data properly. For this reason, it is not your fault, it is simply difficult for a programmer to become really good if he does not have clear and practical training available on such a technical and complicated subject. In fact, the aim of Python for Data Analysis is to make you understand data analysis, Python language, and the like in a simple way in which you won't be able to say, "It's too complicated to understand." What are some points you will learn in this book? The Basics of Python to Make You Independent and Start Earning a Salary by Letting You Take on Companies without Problems Intermediate Python Skills to Get You Above the Competition and Start an Important Career Advanced Python Skills to Become One of Your City's Best Programmers and Earn a 6-Digit Annual Salary Super Intensive Notions of Python to Make You One of the Most Experienced and Coveted Programmers by Companies and Get to be Able to Ask up to $ 200,000 a Year in Salary The 5 Fundamental Steps to Make You Able to Analyze Data Impeccably. The process is everything The Importance of Big Data and How it Will Make You a Truly Expert Programmer Machine Learning...Deep Analysis Pandas Library Course to Rise above the Competition You Will Finally be Able to Understand the Matplotlib as if It Were the Simplest Thing in the World Python for Data Analysis is ideal for those who want a complete education explained in a simple language and in a detailed way about Python and data analysis, from the beginner course to the advanced course. This book is for you even if the programming languages are Arabic for you and you think you can't understand anything. Would You Like to Know More? Buy now to find out about Python for Data Analysis.
Описание: If you want to become the best programmer among your competitors and outperform the competition with a clear and complete approach without becoming frustrated trying to understand the big data, then keep reading... Computer programmers are increasingly in demand in the world. It is estimated that over 50% of companies fail to hire Python programmers because there are not enough advanced and prepared programmers. Don't you think it is smart to have adequate training regarding the Python language to outperform the competition and be able to work always and in every situation, even with the competition in today's world? The problem, however, is that the world is full of books and technical courses that are not able to easily explain the Python programming language and teach how to analyze the data properly. For this reason, it is not your fault, it is simply difficult for a programmer to become really good if he does not have clear and practical training available on such a technical and complicated subject. In fact, the aim of Python for Data Analysis is to make you understand data analysis, Python language, and the like in a simple way in which you won't be able to say, "It's too complicated to understand." What are some points you will learn in this book? The Basics of Python to Make You Independent and Start Earning a Salary by Letting You Take on Companies without Problems Intermediate Python Skills to Get You Above the Competition and Start an Important Career Advanced Python Skills to Become One of Your City's Best Programmers and Earn a 6-Digit Annual Salary Super Intensive Notions of Python to Make You One of the Most Experienced and Coveted Programmers by Companies and Get to be Able to Ask up to $ 200,000 a Year in Salary The 5 Fundamental Steps to Make You Able to Analyze Data Impeccably. The process is everything The Importance of Big Data and How it Will Make You a Truly Expert Programmer Machine Learning...Deep Analysis Pandas Library Course to Rise above the Competition You Will Finally be Able to Understand the Matplotlib as if It Were the Simplest Thing in the World Python for Data Analysis is ideal for those who want a complete education explained in a simple language and in a detailed way about Python and data analysis, from the beginner course to the advanced course. This book is for you even if the programming languages are Arabic for you and you think you can't understand anything. Would You Like to Know More? Buy now to find out about Python for Data Analysis.
Описание: If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading...
Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible.What are some points you will learn in this book?- Artificial Intelligence: How Does it Work? How is it Used?- The Key Elements of Machine Learning- Machine Learning vs Deep Learning- Data Science vs Business Intelligence- The Data Science Lifecycle- The Value of Big Data Explained to a Child- 4 Tips for Data Cleaning and Organizing Your Data- Python Data Analysis 360 - 6 Different Machine Learning Algorithms- How to Handle Data VisualizationsPython for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Buy now to find out about Python for Data Science.
Описание: This book discusses the basic requirements and constraints in building a brain–computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain–computer interaction system are the human brain, types and applications of brain–computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain–computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain–computer interaction system for driving robots using a neural network classification module.
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