“…This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems. …”

“…You'll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. …”

“…By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learn Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch Using an NLP project management Framework for estimating timelines and organizing your project into stages Hack and build a simple chatbot application in 30 minutes Deploy an NLP or machine learning application using Flask as RESTFUL APIs Who this book is for Programmers who wish to build systems that can interpret language. …”

“…What you will learn Train and evaluate neural networks built using TensorFlow for RL Use RL algorithms in Python and TensorFlow to solve CartPole balancing Create deep reinforcement learning algorithms to play Atari games Deploy RL algorithms using OpenAI Universe Develop an agent to chat with humans Implement basic actor-critic algorithms for continuous control Apply advanced deep RL algorithms to games such as Minecraft Autogenerate an image classifier using RL Who this book is for Python Reinforcement Learning Projects is for data analysts, data scientists, and machine learning professionals, who have working knowledge of machine learning techniques and are looking to build better performing, automated, and optimized deep learning models. …”

“…Over 50 recipes to help you quickly and efficiently build applications with Swift 4 and Xcode 9 About This Book Write robust and efficient code and avoid common pitfalls using Swift 4 Get a comprehensive coverage of the tools and techniques needed to create multi-platform apps with Swift 4 Packed with easy-to-follow recipes, this book will help you develop code using the latest version of Swift Who This Book Is For If you are looking for a book to help you learn about the diverse features offered by Swift 4 along with tips and tricks to efficiently code and build applications, then this book is for you. …”

“…What you will learn Discover new functionalities such as density, extensions, and transparency introduced in Tableau 2018.x Connect tables and make transformations such as pivoting the field and splitting columns Build an efficient data source for your analysis Design insightful data visualization using different mark types and properties Build powerful dashboards and stories Share your work and interact with Tableau Server Use Tableau to explore your data and find new insights Explore Tableau's advanced features and gear up for upcoming challenges Who this book is for If you're a beginner or an existing BI professional looking to get the most out of Tableau 2018's latest features, this book is for you. …”

“…This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. …”

“…What you will learn Practice Test-Driven Development (TDD) throughout the entire book Use Cucumber, Mocha and Selenium to write E2E, integration, unit and UI tests Build stateless APIs using Express and Elasticsearch Document your API using OpenAPI and Swagger Build and bundle front-end applications using React, Redux and Webpack Containerize services using Docker Deploying scalable microservices using Kubernetes Who this book is for If you're a JavaScript developer looking to expand your skillset and become a senior JavaScript developer by building production-ready web applications, then this book is for you. …”

“…Along the way you will discover effective ways to collect important information, track email, and use important tools such as DMITRY and Maltego, as well as take a look at the five phases of penetration testing. The coverage of vulnerability analysis includes sniffing and spoofing, why ARP poisoning is a threat, how SniffJoke prevents poisoning, how to analyze protocols with Wireshark, and using sniffing packets with Scapy. …”

“…You’ll also discover lots of helpful tips on using Mojave, including how to: Change the overall appearance of your Mac's display, modify the accent color, and use the new dynamic desktop images Use Stacks to keep the files on your desktop tidy and organized—effortlessly Change the Dock's new way of showing recent apps if you don't like it Preview graphics and other files with Gallery view, and get more information about them in the Preview pane Use Quick Actions (in the Preview pane, Quick Look, contextual menus, and elsewhere) to modify documents directly, without finding and launching an app Make your own custom Quick Actions Use Mojave's enhanced security and privacy features to keep yourself and your data safe and avoid unwanted tracking Capture your Mac's screen (as a photo or movie) in any of numerous ways, without needing an extra app Use Siri to find files, modify system preferences, find your Apple devices, perform specific tasks in apps, get answers to questions, and much more Make Safari more friendly by selectively blocking pop-ups, showing favicons, and avoiding potentially harmful extensions Use your iPhone to take a picture and insert it in a document on your Mac in one step Navigate the updated App Store Use the new Home, News, Stocks, and Voice Memos apps Share iCloud data and purchases within a family Solve common problems…”

“…What you will learn Explore deep learning models and implement them in your browser Design a smart web-based client using Django and Flask Work with different Python-based APIs for performing deep learning tasks Implement popular neural network models with TensorFlow.js Design and build deep web services on the cloud using deep learning Get familiar with the standard workflow of taking deep learning models into production Who this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. …”

“…What you will learn Manage swap space efficiently to maintain the performance of the Fedora 31 system Perform systemd unit configuration tasks using the systemctl command-line tool Add new disk space to increase the capacity of the root file system Configure a basic Linux-based email environment Configure a Fedora 31 system to act as a web server using Apache Create and manage containers on Fedora 31 Who this book is for Fedora 31 Essentials is the ideal book if you're looking for essential information on getting started using the Fedora 31 distribution. …”

“…In this book, Michael illustrates his ideas and concepts through introspective questions and inspiring stories that keep you engaged and have you regularly looking at your own leadership and asking; Am I the kind of leader people really want to follow? …”

“…What you will learn Implement credit card fraud detection with autoencoders Train neural networks to perform handwritten digit recognition using MXNet Reconstruct images using variational autoencoders Explore the applications of autoencoder neural networks in clustering and dimensionality reduction Create natural language processing (NLP) models using Keras and TensorFlow in R Prevent models from overfitting the data to improve generalizability Build shallow neural network prediction models Who this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. …”

“…In the second part, we will take an in-depth look at using Rust for networking software. From client-server networking using sockets to IPv4/v6, DNS, TCP, UDP, you will also learn about serializing and deserializing data using serde. …”

“…5 real-world projects to help you master deep learning concepts About This Book Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more Get to grips with R's impressive range of Deep Learning libraries and frameworks such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec Practical projects that show you how to implement different neural networks with helpful tips, tricks, and best practices Who This Book Is For Machine learning professionals and data scientists looking to master deep learning by implementing practical projects in R will find this book a useful resource. …”

“…What you will learn Create programs from scratch using the Qt framework and C++ language Compile and debug your Qt Quick and C++ applications using Qt Creator Implement map view with your Qt application and display device location on the map Understand how to call Android and iOS native functions from Qt C++ code Localize your application with Qt Linguist Explore various Qt Quick components that provide access to audio and video playbacks Develop GUI applications using both Qt and Qt Quick Who this book is for If you are a beginner looking to harness the power of Qt and the Qt Creator framework for cross-platform development, this book is for you. …”

“…What you will learn Understand different stages of the software development life cycle and the role of a software engineer Create APIs using gRPC and leverage the middleware offered by the gRPC ecosystem Discover various approaches to managing package dependencies for your projects Build an end-to-end project from scratch and explore different strategies for scaling it Develop a graph processing system and extend it to run in a distributed manner Deploy Go services on Kubernetes and monitor their health using Prometheus Who this book is for This Golang programming book is for developers and software engineers looking to use Go to design and build scalable dis..…”

“…Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. …”

“…You will also find the book helpful if you are new to the concept of digital forensics and are looking to get started with the fundamentals. A basic understanding of operating systems and some knowledge of networking fundamentals are required to get started with this book." -- Publisher's description…”