Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines

Kirill Kolodiazhnyi

C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples.This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format.By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.

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.

Working with Legacy Systems. A practical guide to looking after and maintaining the systems we inherit

Robert Annett

The IT industry is constantly evolving with the introduction of new technologies. While it is important to keep up with advancements, maintaining legacy systems is equally necessary to ensure that the infrastructure of your organization functions to the best of its ability. Sound knowledge of techniques that can be used for maintaining legacy systems can help you avoid common pitfalls.The book begins with a quick overview of what a real legacy system looks like, how it works, and common issues that may be faced when trying to maintaining it. You'll then explore the architecture of a legacy system in detail and understand each of its components. As you progress, you'll discover a variety of techniques for analyzing a legacy system and how to apply them. Once you get to grips with the security constraints associated with legacy systems, you'll explore ways to secure them. Finally, you'll be able to easily make changes in legacy systems to enhance their performance.By the end of this book, you’ll have developed the skills and confidence to work with legacy systems and efficiently maintain them.

Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition

Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi

Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas.Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You’ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You’ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.

Electron Projects. Build over 9 cross-platform desktop applications from scratch

Denys Vuika

The Electron framework allows you to use modern web technologies to build applications that share the same code across all operating systems and platforms. This also helps designers to easily transition from the web to the desktop. Electron Projects guides you through building cross-platform Electron apps with modern web technologies and JavaScript frameworks such as Angular, React.js, and Vue.js.You’ll explore the process of configuring modern JavaScript frameworks and UI libraries, real-time analytics and automatic updates, and interactions with the operating system. You’ll get hands-on with building a basic Electron app, before moving on to implement a Markdown Editor. In addition to this, you’ll be able to experiment with major JavaScript frameworks such as Angular and Vue.js, discovering ways to integrate them with Electron apps for building cross-platform desktop apps. Later, you’ll learn to build a screenshot snipping tool, a mini-game, and a music player, while also gaining insights into analytics, bug tracking, and licensing. You’ll then get to grips with building a chat app, an eBook generator and finally a simple digital wallet app.By the end of this book, you’ll have experience in building a variety of projects and project templates that will help you to apply your knowledge when creating your own cross-platform applications.

Autodesk Civil 3D 2024 from Start to Finish. A practical guide to civil infrastructure design, modeling, and analysis

Stephen Walz, Tony Sabat

Autodesk Civil 3D can radically increase your civil engineering design and efficiency if you learn to make the most of its features and partner software platforms. Autodesk Civil 3D from Start to Finish will teach you how to leverage its strengths and scale efficiency to large teams.With this book, you’ll uncover all the major features Civil 3D offers, from surface development to intelligent utility design as well as dynamic display work for smart document creation. You’ll learn to configure and manage your civil engineering designs and explore practical applications of tools and modeling techniques available within the software.By the end of this book, you’ll have a thorough understanding of Autodesk Civil 3D along with its partner programs to strategize and improve your future projects.

Mastering Mobile Test Automation. Master the full range of mobile automation and testing techniques to develop customized mobile automation solutions

Feroz Louis, Feroz Louis, Gaurav Gupta

Meteor Cookbook. Build elegant full-stack web applications with Meteor, the JavaScript framework that’s redefining web development

Isaac Strack