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Nauki przyrodnicze
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Popularnonaukowe i akademickie
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Poradniki
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Technika i mechanika
Kursy video
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Dla dzieci
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Microsoft Office
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Systemy operacyjne
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Testowanie oprogramowania
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Urządzenia mobilne
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UX/UI
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Web development
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Zarządzanie
Podcasty
Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.
Understanding PTSD. Exploring Trauma, Myths, Assessment, and Recovery
Mercury Learning and Information, Austin Mardon
Understanding PTSD offers a comprehensive exploration of Post-Traumatic Stress Disorder (PTSD), tracing its history, debunking common myths, and examining its complex nature. The book begins with a personal narrative to ground the reader, before delving into the origins and evolution of PTSD, particularly during wartime. It addresses widespread misconceptions, emphasizing that PTSD affects diverse populations, not just soldiers. The assessment methods and criteria are discussed, alongside the brain's response to various traumas.Key chapters explore the potential causes of PTSD, including genetic, environmental, and psychological factors. The book also covers the dangers associated with PTSD, various types of PTSD, and symptoms. It provides insights into how PTSD manifests in different age groups and reviews the most effective treatments, such as cognitive therapy and medication.Further chapters discuss comorbidities like depression and substance abuse, the gaps in current knowledge, and ongoing research. The public's perception of PTSD, its portrayal in the media, and the impact on families are also examined. The book concludes with practical advice on supporting individuals with PTSD and a detailed directory of resources available in North America, Europe, and India.
Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases.This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems.Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
Raghav Kandarpa, Shivangi Saxena
The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data.The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling.By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.
OpenShift Multi-Cluster Management Handbook. Go from architecture to pipelines using GitOps
Giovanni Fontana, Rafael Pecora, Marcos Amorim
For IT professionals working with Red Hat OpenShift Container Platform, the key to maximizing efficiency is understanding the powerful and resilient options to maintain the software development platform with minimal effort. OpenShift Multi-Cluster Management Handbook is a deep dive into the technology, containing knowledge essential for anyone who wants to work with OpenShift.This book starts by covering the architectural concepts and definitions necessary for deploying OpenShift clusters. It then takes you through designing Red Hat OpenShift for hybrid and multi-cloud infrastructure, showing you different approaches for multiple environments (from on-premises to cloud providers). As you advance, you’ll learn container security strategies to protect pipelines, data, and infrastructure on each layer. You’ll also discover tips for critical decision making once you understand the importance of designing a comprehensive project considering all aspects of an architecture that will allow the solution to scale as your application requires.By the end of this OpenShift book, you’ll know how to design a comprehensive Red Hat OpenShift cluster architecture, deploy it, and effectively manage your enterprise-grade clusters and other critical components using tools in OpenShift Plus.
When you are developing on the Microsoft platform, Visual Studio 2010 offers you a range of powerful tools and makes the whole process easier and faster. After learning it, if you are think that you can sit back and relax, you cannot be further away from truth. To beat the crowd, you need to be better than others, learn tips and tricks that other don't know yet. This book is a compilation of the best practices of programming with Visual Studio.Visual Studio 2010 best practices will take you through the practices that you need to master programming with .NET Framework. The book goes on to detail several practices involving many aspects of software development with Visual Studio. These practices include debugging and exception handling and design. It details building and maintaining a recommended practices library and the criteria by which to document recommended practicesThe book begins with practices on source code control (SCC). It includes different types of SCC and discusses how to choose them based on different scenarios. Advanced syntax in C# is then covered with practices covering generics, iterator methods, lambdas, and closures.The next set of practices focus on deployment as well as creating MSI deployments with Windows Installer XML (WiX)óincluding Windows applications and services. The book then takes you through practices for developing with WCF and Web Service.The software development lifecycle is completed with practices on testing like project structure, naming, and the different types of automated tests. Topics like test coverage, continuous testing and deployment, and mocking are included. Although this book uses Visual Studio as example, you can use these practices with any IDE.
Ubuntu Server has taken data centers around the world by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization.This third edition is updated to cover the advancements of Ubuntu 20.04 LTS and further train you to understand how to use Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concepts of user management, group management, and file system permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will include setting up QEMU & KVM, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios.By the end of this Ubuntu Server book, you will be well-versed in Ubuntu server’s advanced concepts and attain the required proficiency needed for Ubuntu Server administration.