Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques

Sumit Ranjan, Dr. S. Senthamilarasu

Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving.By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries.

Big Data Forensics - Learning Hadoop Investigations. Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques

Joseph Sremack, Joe Sremack

Node Cookbook. Over 50 recipes to master the art of asynchronous server-side JavaScript using Node with this book and

David Mark Clements

The principles of asynchronous event-driven programming are perfect for today's web, where efficient real-time applications and scalability are at the forefront. Server-side JavaScript has been here since the 90's but Node got it right. With a thriving community and interest from Internet giants, it could be the PHP of tomorrow.Node Cookbook shows you how to transfer your JavaScript skills to server side programming. With simple examples and supporting code, Node Cookbook talks you through various server side scenarios often saving you time, effort, and trouble by demonstrating best practices and showing you how to avoid security faux pas.Beginning with making your own web server, the practical recipes in this cookbook are designed to smoothly progress you to making full web applications, command line applications, and Node modules. Node Cookbook takes you through interfacing with various database backends such as MySQL, MongoDB and Redis, working with web sockets, and interfacing with network protocols, such as SMTP. Additionally, there are recipes on correctly performing heavy computations, security implementations, writing, your own Node modules and different ways to take your apps live.

Practical Node-RED Programming. Learn powerful visual programming techniques and best practices for the web and IoT

Taiji Hagino, Nick O'Leary

Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code.Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You’ll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you’ve covered the basics, you’ll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications.By the end of this book, you’ll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business.

Learning Adobe Muse. Create beautiful websites without writing any code with this book and

Jennifer Farley

Adobe Muse is an exciting new tool from the world's foremost design software company which allows users to create beautiful and fully functioning websites without writing any code. It provides graphic designers the power to use their print design skills over the Web. This book will help web designers as well as graphic designers to master Adobe Muse quickly. It will provide step-by-step instructions that guide you through building a website with Adobe Muse.Learning Adobe Muse will teach you how to plan, design and publish websites using Adobe Muse. It starts by covering the tools and interface of the program and moves on to the concepts you'll need to understand for laying out your web pages. You'll learn how to format text using reusable styles, add images, create a clean navigation system, and add interactive elements such as panels and slideshows to your pages and all this without writing a single line of code!By the end of the book you will have created a smartlydesigned, fully-functioning website.

Arduino Wearable Projects. Design, code, and build exciting wearable projects using Arduino tools

Tony Olsson, Tony Effe A Olsson

Python Algorithmic Trading Cookbook. All the recipes you need to implement your own algorithmic trading strategies in Python

Pushpak Dagade

If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.

Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Ayodele Oluleye

In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.