Raspberry Pi Sensors. Integrate sensors into your Raspberry Pi projects and let your powerful microcomputer interact with the physical world

Rushi Gajjar, Gajjar R Pareshkumar

The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...

Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.

Cross-Platform UIs with Flutter. Unlock the ability to create native multiplatform UIs using a single code base with Flutter 3

Ryan Edge, Alberto Miola

Flutter is a UI toolkit for building beautiful, natively compiled applications for mobile, web, desktop, and embedded devices from a single code base. With Flutter, you can write your code once and run it anywhere using a single code base to target multiple platforms. This book is a comprehensive, project-based guide for new and emerging Flutter developers that will help empower you to build bulletproof applications.Once you start reading book, you’ll quickly realize what sets Flutter apart from its competition and establish some of the fundamentals of the toolkit. As you work on various project applications, you’ll understand just how easy Flutter is to use for building stunning UIs. This book covers navigation strategies, state management, advanced animation handling, and the two main UI design styles: Material and Cupertino. It’ll help you extend your knowledge with good code practices, UI testing strategies, and CI setup to constantly keep your repository’s quality at the highest level possible.By the end of this book, you'll feel confident in your ability to transfer the lessons from the example projects and build your own Flutter applications for any platform you wish.

Corona SDK Mobile Game Development: Beginner's Guide. Learn, explore, and create commercially successful mobile games for iOS and Android

Michelle M Fernandez

Practical Discrete Mathematics. Discover math principles that fuel algorithms for computer science and machine learning with Python

Ryan T. White, Archana Tikayat Ray

Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.

Mastering PostgreSQL 15. Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications - Fifth Edition

Hans-Jürgen Schönig

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system.You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.

Practical Mobile Forensics. Dive into mobile forensics on iOS, Android, Windows, and BlackBerry devices with this action-packed, practical guide

Satish Bommisetty, Rohit Tamma, Heather Mahalik

Julia 1.0 Programming Complete Reference Guide. Discover Julia, a high-performance language for technical computing

Ivo Balbaert, Adrian Salceanu

Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:• Julia 1.0 Programming - Second Edition by Ivo Balbaert• Julia Programming Projects by Adrian Salceanu