Bücher veröffentlicht von Packt Publishing Limited

With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease.

This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.

Nuxt.js is a progressive web framework for adding SSR capabilities to Vue.js apps. This practical guide will help you up and running with the fundamentals of Nuxt.js, how to integrate it with the latest version of Vue.js and enable you to build an entire project including authentication, testing, and deployment with Nuxt.js and Vue.js.

Drupal 8 brought a release cycle that allows for new functionality to be added at a much faster pace. This extends into the new shiny Drupal 9 release. However, this also means code deprecations and changing architecture that you need to stay on top of. This book updates the previous editions and includes the new functionality introduced in ...

Regardless of whether you are a DevOps engineer, a Software Engineering lead, or a software developer, everyone seeks to create repeatable environments with Docker containers. By reading this book and completing the exercises, you will learn how to build and deploy applications in Docker with ease, helping you to become a stronger practitioner.

Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry expertsKey Features Get to grips with data analysis by studying use cases from different fields Develop your critical thinking skills by following tried-and-true data analysis Learn how to use conclusions from data analyses to make better business decisionsBook DescriptionBusinesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business.The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you'll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.What you will learn Get to grips with the fundamental concepts and conventions of data analysis Understand how different algorithms help you to analyze the data effectively Determine the variation between groups of data using hypothesis testing Visualize your data correctly using appropriate plotting points Use correlation techniques to uncover the relationship between variables Find hidden patterns in data using advanced techniques and strategiesWho this book is forThe Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.

Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.

This book is a collection of practical examples for understanding how embedded development is different from other desktop application development. You'll learn to build an embedded application and use specialized memory and custom allocators. By the end of the book, you'll be able to build robust and secure embedded applications with C++20.

MicroPython Projects is a project-based guide that provides you with a wide range of projects along the lines of electronic applications, Android Applications, GPS, automation devices, and so on. With this pragmatic approach, you will be confident enough to design complex projects on MicroPython spanning altogether new areas of the technology.

AWS CloudFormation provisions your resources in a safe and repeatable manner, allowing you to build your infrastructure and applications without performing manual actions or writing custom scripts. This comprehensive guide will help readers to implement Infrastructure as a Code using AWS CloudFormation.

Starting with the fundamentals of data storage, The Artificial Intelligence Infrastructure Workshop covers the entire spectrum of tools and techniques that you must know to set up a data storage system for AI applications.

Studies on software project delivery show that the most common cause of failure is mismanagement of the project's requirements. This book takes a holistic approach to managing requirements to show you how to bridge the gap between requirements and specifications and deliver a successful software project that meets your client's expectations.

Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text dataKey Features Get familiar with key natural language processing (NLP) concepts and terminology Explore the functionalities and features of popular NLP tools Learn how to use Python programming and third-party libraries to perform NLP tasksBook DescriptionDo you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you've never done it before?With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises.The book starts with an introduction to NLP. You'll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you'll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you'll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews.By the end of this book, you'll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text.What you will learn Obtain, verify, clean and transform text data into a correct format for use Use methods such as tokenization and stemming for text extraction Develop a classifier to classify comments in Wikipedia articles Collect data from open websites with the help of web scraping Train a model to detect topics in a set of documents using topic modeling Discover techniques to represent text as word and document vectorsWho this book is forThis book is for beginner to mid-level data scientists, machine learning developers, and NLP enthusiasts. A basic understanding of machine learning and NLP is required to help you grasp the topics in this workshop more quickly.

Cyber Warfare - Truth, Tactics, and Strategies takes you through the broad range of attack types and threats that are present in a world powered by AI, big data, drones, video, and social media. It is filled with examples of actual attacks and the defence techniques, tools and strategies presented for you to learn how to think about defending ...

There are typically two main reasons why you may consider migrating SAP to Azure: You need to replace the infrastructure that is currently running SAP, or you want to migrate SAP to a new database. This book will guide you through migrating your SAP data to Azure simply and successfully.

Systems programming is about writing software that interacts closely with the underlying OS and other software. The goal of C++ Systems Programming Cookbook is to provide ready to use solutions for the essential aspects of system programming. By the end of the book, you will become adept at developing robust systems applications using C++.

Microservices architecture helps create a complex system that can be maintained by independent teams working in parallel. You'll learn how to structure big systems, encapsulate them using Docker, and deploy them using Kubernetes. By the end of this book, you'll know how to design, deploy and operate a complex system with multiple microservices.

This book helps data scientists and cybersecurity experts on implementing the latest AI techniques in cybersecurity. Concrete and clear steps for implementing ML security systems are provided, saving you months in research and development. By the end of this book, you will be able to build defensive systems to curb cybersecurity threats.

Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.

Design patterns are fundamental techniques for developing reusable and maintainable code. This book presents many practical design patterns and related techniques for developing Julia applications. By the end of the book, you will be comfortable with implementing design patterns to create robust, reusable, and easily maintainable applications.

This recipe-based guide helps you explore WordPress beyond blogging and basic content management. You will learn to troubleshoot and optimize your site to maximize visibility, make it interactive, build a user community, and make your WordPress sites profitable with the increase in product sales and other revenue streams.

This book is designed to show you how to create robust, scalable, highly available and fault-tolerant solutions by learning different aspects of solution architecture and next-generation architecture design in the cloud environment.

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret textKey Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition Study the architecture of different neural networksBook DescriptionAre you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras.What you will learn Understand how deep learning, machine learning, and artificial intelligence are different Develop multilayer deep neural networks with TensorFlow Implement deep neural networks for multiclass classification using Keras Train CNN models for image recognition Handle sequence data and use it in conjunction with RNNs Build a GAN to generate high-quality synthesized imagesWho this book is forIf you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.

Python has a number of powerful packages to help anyone tackle complex mathematical problems in a simple and efficient way. This practical guide explains how to model real-world problems as mathematical objects in Python and how to perform computations, and interpret results. It explores Python lang to solve a variety of math and statistics ...

Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using Unity with C#. With its practical and project-based approach, this book will get you up to speed with the specifics of VR development in Unity by building real-world projects that explore various core 3D development concepts.

If you're looking for an alternative to the "P" languages (Perl, PHP, and Python), or want to explore a new paradigm of server-side application development, this Node book is for you. You should have at least a rudimentary understanding of JavaScript and web application development.

This Hands-On Guide on Unity is for the new and existing Unity users to get the most out of Unity Editor, create scripts using C#, delve into graphics, sound, and animations and manipulate physics to create interesting mechanics for your game. All of that will be slowly but immediately applied to a finished real-world game.

Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras.Key Features Understand the nuances of setting up a deep learning programming environment Gain insights into the common components of a neural network and its essential operations Get to grips with deploying a machine learning model as an interactive web application with FlaskBook DescriptionMachine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy.As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools.The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization.By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects.What you will learn Familiarize yourself with the components of a neural network Understand the different types of problems that can be solved using neural networks Explore different ways to select the right architecture for your model Make predictions with a trained model using TensorBoard Discover the components of Keras and ways to leverage its features in your model Explore how you can deal with new data by learning ways to retrain your modelWho this book is forIf you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.

Amazon has come up with Specialty certifications which validates a particular user's expertise that he/she would want to build a career in. This Guide will be a companion to getting skilled with complex and creative security solutions.