Informatyka
Jen Stirrup, Ruben Oliva Ramos, LOURDES BOLANOS...
Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.
Gianluca Tiepolo, Dan Sorensen
Modern adversaries rely on stealth, living-off-the-land techniques, and zero-day exploitation to evade traditional security controls. This practical guide shows experienced defenders how to move beyond reactive alerts and build a proactive threat hunting capability driven by cyber threat intelligence.Written for seasoned cybersecurity professionals, the book demonstrates how to formulate CTI-driven hunt hypotheses and detect advanced persistent threats by analyzing adversary behavior across the Cyber Kill Chain. You’ll learn how to track APT infrastructure, map attacker TTPs using the MITRE ATT&CK framework, and identify post-exploitation activity that signals successful compromise.Through hands-on exercises, you’ll apply behavioral analytics, detection engineering, and machine learning–based anomaly detection to uncover what signature-based tools miss. Coverage includes threat hunting in cloud, hybrid, and ICS/OT environments, with real-world techniques for lateral movement, persistence, privilege escalation, and data exfiltration.By the end of this book, you’ll be equipped to run intelligence-led threat hunts, detect advanced threats earlier, and operationalize CTI as a core part of your defensive strategy.
Rowel Atienza, Neeraj Verma, Valerio Maggio
Recent developments in deep learning, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Reinforcement Learning (DRL) are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like.Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today, so you can create your own cutting-edge AI. Using Keras as an open-source deep learning library, you'll find hands-on projects throughout that show you how to create more effective AI with the latest techniques.The journey begins with an overview of MLPs, CNNs, and RNNs, which are the building blocks for the more advanced techniques in the book. You’ll learn how to implement deep learning models with Keras and TensorFlow 1.x, and move forwards to advanced techniques, as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You then learn all about GANs, and how they can open new levels of AI performance. Next, you’ll get up to speed with how VAEs are implemented, and you’ll see how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans - a major stride forward for modern AI. To complete this set of advanced techniques, you'll learn how to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.
Advanced Distributed Scrum. A concise guide to building and leading remote and hybrid Scrum Teams
Kelley O'Connell, Darren Wilmshurst, Lindy Quick
The COVID-19 pandemic altered the way teams work, turning remote work into a common practice for Agile teams that were originally founded to be co-located, leaving teams to grapple with remote and hybrid setups. The Agile mindset, however, remains the standard for effective teamwork, and this book integrates distributed work into your Agile and Scrum Values. Advanced Distributed Scrum will guide you in harnessing the talents of global team members and overcoming the challenges of working across geographies.Renowned Agile coach and educator Kelley O’Connell distills 25+ years of experience into this concise guide. The book begins by establishing the foundational principles of distributed Scrum, highlighting the unique roles and responsibilities within hybrid and remote environments. You’ll gain insights into the challenges faced by distributed Agile teams and explore how to cultivate a strong remote team culture, improve communication, and effectively manage conflicts in a virtual space. Finally, you'll put remote Scrum practices into action to maximize the outcomes you're aiming for.By the end of this book, you’ll be equipped to lead and nurture high-performing distributed teams, facilitate remote ceremonies, implement remote-friendly CI/CD pipelines, and create team norms that drive engagement.
Andrew Keig
Building an Express application that is reliable, robust, maintainable, testable, and can scale beyond a single server requires a bit of extra thought and effort. Express applications that need to survive in a production environment will need to reach out to the Node ecosystem and beyond, for support.You will start by laying the foundations of your software development journey, as you drive-out features under test. You will move on quickly to expand on your existing knowledge, learning how to create a web API and a consuming client. You will then introduce a real-time element in your application.Following on from this, you will begin a process of incrementally improving your application as you tackle security, introduce SSL support, and how to handle security vulnerabilities. Next, the book will take you through the process of scaling and then decoupling your application. Finally, you will take a look at various ways you can improve your application's performance and reliability.
Chiheb Chebbi
It has always been difficult to gain hands-on experience and a comprehensive understanding of advanced penetration testing techniques and vulnerability assessment and management. This book will be your one-stop solution to compromising complex network devices and modern operating systems. This book provides you with advanced penetration testing techniques that will help you exploit databases, web and application servers, switches or routers, Docker, VLAN, VoIP, and VPN.With this book, you will explore exploitation abilities such as offensive PowerShell tools and techniques, CI servers, database exploitation, Active Directory delegation, kernel exploits, cron jobs, VLAN hopping, and Docker breakouts. Moving on, this book will not only walk you through managing vulnerabilities, but will also teach you how to ensure endpoint protection. Toward the end of this book, you will also discover post-exploitation tips, tools, and methodologies to help your organization build an intelligent security system.By the end of this book, you will have mastered the skills and methodologies needed to breach infrastructures and provide complete endpoint protection for your system.
Advanced JavaScript. Speed up web development with the powerful features and benefits of JavaScript
Zachary Shute
If you are looking for a programming language to develop flexible and efficient applications, JavaScript is an obvious choice. Advanced JavaScript is a hands-on guide that takes you through JavaScript and its many features, one step at a time. You'll begin by learning how to use the new JavaScript syntax in ES6, and then work through the many other features that modern JavaScript has to offer. As you progress through the chapters, you’ll use asynchronous programming with callbacks and promises, handle browser events, and perform Document Object Model (DOM) manipulation. You'll also explore various methods of testing JavaScript projects. In the concluding chapters, you'll discover functional programming and learn to use it to build your apps. With this book as your guide, you'll also be able to develop APIs using Node.js and Express, create front-ends using React/Redux, and build mobile apps using React/Expo.By the end of Advanced JavaScript, you will have explored the features and benefits of JavaScript to build small applications.
John Hearty
Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano.By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering.