Segment Routing in MPLS Networks. Transition from traditional MPLS to SR-MPLS with TI-LFA FRR

Hemant Sharma, Wendell Odom

In this book, you will learn about segment routing (SR), a cornerstone of modern networking, and topology-independent loop-free alternate (TI-LFA), with hands-on labs to hit the ground running. Written by a key contributor to global segment routing multiprotocol label switching (SR-MPLS) network designs, this book makes learning SR-MPLS both accessible and insightful.The book offers an extensive learning path, taking you from a traditional MPLS network using the label distribution protocol (LDP) to a modern SR-MPLS network using SR, and provides a holistic view of their interworking. You’ll also explore TI-LFA fast reroute protection scenarios, and find out how SR-MPLS strengthens network reliability with its source routing paradigm. Using intermediate system–to–intermediate system (IS-IS) as the foundational link-state routing protocol, the chapters ensure that you get a clear understanding of both SR and IS-IS. Following a consistent network topology throughout, this book enables smooth transitions between scenarios, helping you master the technical concepts without distraction.By the end of this book, you’ll have a solid grasp of MPLS, SR-MPLS, and TI-LFA fast reroute techniques, ready to tackle real-world networking challenges with confidence.

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

Learning jQuery. Create better interaction, design, and web development with simple JavaScript techniques

jQuery Foundation, Karl Swedberg, Jonathan Chaffer

To build interesting, interactive sites, developers are turning to JavaScript libraries such as jQuery to automate common tasks and simplify complicated ones. Because many web developers have more experience with HTML and CSS than with JavaScript, the library's design lends itself to a quick start for designers with little programming experience. Experienced programmers will also be aided by its conceptual consistency.Learning jQuery Third Edition is revised and updated for version 1.6 of jQuery. You will learn the basics of jQuery for adding interactions and animations to your pages. Even if previous attempts at writing JavaScript have left you baffled, this book will guide you past the pitfalls associated with AJAX, events, effects, and advanced JavaScript language features.Starting with an introduction to jQuery, you will first be shown how to write a functioning jQuery program in just three lines of code. Learn how to add impact to your actions through a set of simple visual effects and to create, copy, reassemble, and embellish content using jQuery's DOM modification methods. The book will step you through many detailed, real-world examples, and even equip you to extend the jQuery library itself with your own plug-ins.

Cryptography Algorithms. Explore New Algorithms in Zero-knowledge, Homomorphic Encryption, and Quantum Cryptography - Second Edition

Massimo Bertaccini

As cyber threats evolve, so must our cryptographic defenses. This updated edition of Cryptographic Algorithms delves into the latest advancements in encryption, cybersecurity, and data protection, ensuring you stay ahead in this rapidly changing field. Whether you're an aspiring or seasoned cybersecurity professional, this book equips you with the expertise to confidently tackle modern security challenges.Written by Dr. Massimo Bertaccini—a cryptography researcher, inventor, and cybersecurity expert—this book goes beyond theory, offering real-world applications backed by his inventions and patents. His expertise in zero-knowledge proofs, homomorphic encryption, and blockchain security makes this an essential resource for mastering cryptographic security.With updated algorithms, in-depth explanations, and a comprehensive overview of next-gen cryptographic advancements, this second edition provides the tools to protect sensitive data, implement secure cryptographic systems, and defend against emerging cybersecurity threats.By the end of this book, you’ll have hands-on expertise in modern cryptographic techniques—empowering you to build robust security solutions and stay at the forefront of cybersecurity innovation.

Instant Oracle BPM for Financial Services How-to. Discover how to leverage BPM in the financial sector

B. M. Madhusudhan Rao, B.M Madhusudhan Rao

Oracle Business Process Management helps in process automation and improvement with a very high level of flexibility for all the process participants from the process planning team to the end users. It also makes it possible to have corporate employees and customers collaborating towards common goals.Instant Oracle BPM for Financial Services How-to covers many concepts that can be easily reused across industries such as core banking, healthcare, travel, self service automation, e-governance, and so on. It highlights various roles of Business Process Management such as Business Process Modeling, Process Developer, Process Owner, and Process Participant along with the way they work together in a financial services environment.Instant Oracle BPM for Financial Services How-to is your guide to implementing Oracle Business Process Management whilst working in the Financial Services industry.Starting through the discovering of implementation and Business challenges for financial services we will move on to Modeling, Implementation, Process ork-flow’s, deployment and testing.Moving on to cover advanced topics such as Process administering, changing business processes using process analysts, business reporting, participants and notifications and finally collaboration. You will learn to setup, maintain and alter your Business Process Management aimed specifically for the Financial services industry.

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.

Practical Cybersecurity Architecture. A guide to creating and implementing robust designs for cybersecurity architects

Ed Moyle, Diana Kelley

Cybersecurity architects work with others to develop a comprehensive understanding of the business' requirements. They work with stakeholders to plan designs that are implementable, goal-based, and in keeping with the governance strategy of the organization.With this audiobook, you'll explore the fundamentals of cybersecurity architecture: addressing and mitigating risks, designing secure solutions, and communicating with others about security designs. The book outlines strategies that will help you work with execution teams to make your vision a concrete reality, along with covering ways to keep designs relevant over time through ongoing monitoring, maintenance, and continuous improvement. As you progress, you'll also learn about recognized frameworks for building robust designs as well as strategies that you can adopt to create your own designs.By the end of this audiobook, you will have the skills you need to be able to architect solutions with robust security components for your organization, whether they are infrastructure solutions, application solutions, or others.

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker

Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book.By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.