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Hands-on Site Reliability Engineering : Build Capability to Design, Deploy, Monitor, and Sustain Enterprise Software Systems at Scale (English Edition) / Shamayel MOHAMMED FAROOQUI / BPB Publications (2021)
Titre : Hands-on Site Reliability Engineering : Build Capability to Design, Deploy, Monitor, and Sustain Enterprise Software Systems at Scale (English Edition) Type de document : e-book Auteurs : Shamayel MOHAMMED FAROOQUI Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789391030322 Note générale : copyrighted Langues : Anglais (eng) Résumé : A comprehensive guide with basic to advanced SRE practices and hands-on examples.Key Features? Demonstrates how to execute site reliability engineering along with fundamental concepts. ? Illustrates real-world examples and successful techniques to put SRE into production.? Introduces you to DevOps, advanced techniques of SRE, and popular tools in use.DescriptionHands-on Site Reliability Engineering (SRE) brings you a tailor-made guide to learn and practice the essential activities for the smooth functioning of enterprise systems, right from designing to the deployment of enterprise software programs and extending to scalable use with complete efficiency and reliability.The book explores the fundamentals around SRE and related terms, concepts, and techniques that are used by SRE teams and experts. It discusses the essential elements of an IT system, including microservices, application architectures, types of software deployment, and concepts like load balancing. It explains the best techniques in delivering timely software releases using containerization and CI/CD pipeline. This book covers how to track and monitor application performance using Grafana, Prometheus, and Kibana along with how to extend monitoring more effectively by building full-stack observability into the system.The book also talks about chaos engineering, types of system failures, design for high-availability, DevSecOps and AIOps.What you will learn? Learn the best techniques and practices for building and running reliable software.? Explore observability and popular methods for effective monitoring of applications.? Workaround SLIs, SLOs, Error Budgets, and Error Budget Policies to manage failures.? Learn to practice continuous software delivery using blue/green and canary deployments.Who this book is forThis book caters to experienced IT professionals, application developers, software engineers, and all those who are looking to develop SRE capabilities at the individual or team level.Table of Contents1. Understand the World of IT2. Introduction to DevOps3. Introduction to SRE4. Identify and Eliminate Toil5. Release Engineering6. Incident Management7. IT Monitoring8. Observability9. Key SRE KPIs: SLAs, SLOs, SLIs, and Error Budgets10. Chaos Engineering11. DevSecOps and AIOps12. Culture of Site Reliability EngineeringAbout the Authors Shamayel M. Farooqui is a technology leader who specializes in driving digital transformation for organizations and is the author of ‘Enterprise DevOps Framework - Transforming IT Operations’.He has expertise in implementing IT security, cloud migrations, and IT automation and a proven track record of building teams of skilled site reliability engineers focused on delivering solutions for optimizing and running hybrid, multi-cloud environments. He thrives on building creative solutions to solve complex IT problems and has mastered the art of building reusable automation for driving efficiency in IT/business processes and cloud management.Blog links: http://www.shamayelfarooqui.com, http://www.shamayelfarooqui.com, https://www.xfgeek.com/homeLinkedIn Profile: https://www.linkedin.com/in/shamayel/Vishnu Vardhan Chikoti has diverse experience in the areas of Application and Database design and development, Micro-services & Micro-frontends, DevOps, Site Reliability Engineering, and Machine Learning.With the ability to conduct deep analysis, strong execution skills, and an innovative mindset, he has successfully led R&D teams to build engineering solutions to improve the reliability of applications. He is also an expert in building high-volume transaction processing applications for middle and back-office functions for Investment Banks using a variety of architectures.LinkedIn Profile: https://www.linkedin.com/in/vishnu-vardhan-chikoti-3763262/ Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939106 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563726 IBM Watson Solutions for Machine Learning : Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition) / Arindam GANGULY / BPB Publications (2021)
Titre : IBM Watson Solutions for Machine Learning : Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition) Type de document : e-book Auteurs : Arindam GANGULY Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789390684700 Note générale : copyrighted Langues : Anglais (eng) Résumé : Utilize Python and IBM Watson to put real-life use cases into production.Key Features? Use of popular Python packages for building Machine Learning solutions from scratch.? Practice various IBM Watson Machine Learning tools for Computer Vision and Natural Language Processing applications.? Expert-led best practices to put your Machine Learning solutions into the production environment.DescriptionThis book will take you through the journey of some amazing tools IBM Watson has to offer to leverage your machine learning concepts to solve some real-life use cases that are pertinent to the current industry. This book explores the various Machine Learning fundamental concepts and how to use the Python programming language to deal with real-world use cases. It explains how to take your code and deploy it into IBM Cloud leveraging IBM Watson Machine Learning. While doing so, the book also introduces you to several amazing IBM Watson tools such as Watson Assistant, Watson Discovery, and Watson Visual Recognition to ease out various machine learning tasks such as building a chatbot, creating a natural language processing pipeline, or an optical object detection application without a single line of code. It covers Watson Auto AI with which you can apply various machine learning algorithms and pick out the best for your dataset without a single line of code. Finally, you will be able to deploy all of these into IBM Cloud and configure your application to maintain the production-level runtime.After reading this book, you will find yourself confident to administer any machine learning use case and deploy it into production without any hassle. You will be able to take up a complete end-to-end machine learning project with complete responsibility and deliver the best standards the current industry has to offer..Towards the end of this book, you will be able to build an end-to-end production-level application and deploy it into Cloud.What you will learn? Review the basics of Machine Learning and learn implementation using Python.? Learn deployment using IBM Watson Studio and Watson Machine Learning.? Learn how to use Watson Auto AI to automate hyperparameter tuning..? Learn Watson Assistant, Watson Visual Recognition, and Watson Discovery.Who this book is forThis book is for all data professionals, ML enthusiasts, and software developers who are looking for real solutions to be developed. The reader is expected to have a prior knowledge of the web application architecture and basic Python fundamentals.Table of Contents1. Introduction to Machine Learning2. Deep Learning3. Features and Metrics4. Build Your Own Chatbot5. First Complete Machine Learning Project6. Perfecting Our Model7. Visual Recognition8. Watson Discovery9. Deployment and Others10. Deploying the Food Ordering BotAbout the Authors Arindam Ganguly has been working in one of the top multinational companies in India for several years. He is a Machine Learning Engineer and has proven his knowledge in several domains. He has completed his Masters in Computer Applications and also teaches in several tech forums Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939108 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=564505 Image Processing Masterclass with Python : 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition) / Sandipan DEY / BPB Publications (2021)
Titre : Image Processing Masterclass with Python : 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition) Type de document : e-book Auteurs : Sandipan DEY Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789389898644 Note générale : copyrighted Langues : Anglais (eng) Résumé : Over 50 problems solved with classical algorithms + ML / DL modelsKey Features Problem-driven approach to practice image processing. Practical usage of popular Python libraries: Numpy, Scipy, scikit-image, PIL and SimpleITK. End-to-end demonstration of popular facial image processing challenges using MTCNN and Microsoft’s Cognitive Vision APIs.DescriptionThis book starts with basic Image Processing and manipulation problems and demonstrates how to solve them with popular Python libraries and modules. It then concentrates on problems based on Geometric image transformations and problems to be solved with Image hashing. Next, the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems using different algorithms such as spatial filters and create a super resolution image using SRGAN.Finally, it explores popular facial image processing problems and solves them with Machine learning and Deep learning models using popular python ML / DL libraries.What you will learn Develop strong grip on the fundamentals of Image Processing and Image Manipulation. Solve popular Image Processing problems using Machine Learning and Deep Learning models. Working knowledge on Python libraries including numpy, scipy and scikit-image. Use popular Python Machine Learning packages such as scikit-learn, Keras and pytorch. Live implementation of Facial Image Processing techniques such as Face Detection / Recognition / Parsing dlib and MTCNN.Who this book is forThis book is designed specially for computer vision users, machine learning engineers, image processing experts who are looking for solving modern image processing/computer vision challenges.Table of Contents1. Chapter 1: Basic Image & Video Processing2. Chapter 2: More Image Transformation and Manipulation3. Chapter 3: Sampling, Convolution and Discrete Fourier Transform4. Chapter 4: Discrete Cosine / Wavelet Transform and Deconvolution5. Chapter 5: Image Enhancement6. Chapter 6: More Image Enhancement7. Chapter 7: Face Image ProcessingAbout the Author Sandipan Dey is a Data Scientist with a wide range of interests, covering topics such as Machine Learning, Deep Learning, Image Processing and Computer Vision. He has worked in numerous data science fields, such as recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in Computer Science from the University of Maryland, Baltimore County, and has published in a few IEEE data mining conferences and journals. He has also authored a couple of Image Processing books, published from an international publication house. He has earned certifications from 100+ MOOCs on data science and related courses. He is a regular blogger (at sandipanweb @wordpress, medium and data science central) and is a Machine Learning education enthusiast.LinkedIn Profile: https://www.linkedin.com/in/sandipan-dey-0370276 Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939109 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563728 Implement NLP use-cases using BERT : Explore the Implementation of NLP Tasks Using the Deep Learning Framework and Python (English Edition) / AMANDEEP / BPB Publications (2021)
Titre : Implement NLP use-cases using BERT : Explore the Implementation of NLP Tasks Using the Deep Learning Framework and Python (English Edition) Type de document : e-book Auteurs : AMANDEEP Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789390684625 Note générale : copyrighted Langues : Anglais (eng) Résumé : State-of-the-art BERT implementation for text classificationDescriptionThis book provides a solid foundation for ‘Natural Language Processing’ with pragmatic explanation and implementation of a wide variety of industry wide scenarios. After reading this book, one can simply jump to solve real world problems and join the league of NLP developers.It starts with the introduction of Natural Language Processing and provides a good explanation of different practical situations which are currently implemented across the globe. Thereafter, it takes a deep dive into the text classification with different types of algorithms to implement the same. Then, it further introduces the second important NLP use case called Named Entity Recognition with its popular algorithm choices. Thereafter, it provides an introduction to a state of the art language model called BERT and its application. What you will learn? Learn to implement transfer learning on pre-trained BERT models.? Learn to demonstrate a production ready Text Classification for domain specific data and networking using Python 3.x.? Learn about the domain specific pre trained models with a library called `aiops` which has been specially designed for this book.Who this book is forThis book is meant for Data Scientists and Machine Learning Engineers who are new to Natural Language Processing and want to quickly implement different NLP use-cases. Readers should have a basic knowledge of Python before reading the book.Table of Contents1. Introduction to NLP and Different Use-Cases2. Deep Dive into Text Classification and Different Types of Algorithms in Industry3. Named Entity Recognition4. BERT and its Application5. BERT: Text Classification6. BERT: Text Classification CodeAbout the Authors Amandeep has been working as a technical lead in the field of software development at the time of publishing this book. He has worked for almost eight years in a few of the top MNCs. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939110 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=565186 Implementing Design Patterns in C# and .NET 5 : Build Scalable, Fast, and Reliable .NET Applications Using the Most Common Design Patterns (English Edition) / Alexandre F. MALAVASI CARDOSO / BPB Publications (2021)
Titre : Implementing Design Patterns in C# and .NET 5 : Build Scalable, Fast, and Reliable .NET Applications Using the Most Common Design Patterns (English Edition) Type de document : e-book Auteurs : Alexandre F. MALAVASI CARDOSO Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789390684366 Note générale : copyrighted Langues : Anglais (eng) Résumé : Implement robust applications by applying efficient Design Patterns with .NET 5 and C#Key Features? Detailed theoretical concepts covered, including the use of encapsulation, interfaces, and inheritance.? Access to solutions applied for software strategy and final product output.? Simplified demonstration of real applications implementing numerous design patterns.DescriptionThis book covers detailed aspects of Design Patterns and Object-Oriented Programming concepts using the most modern version of the C# language and .NET platform, including many real-world examples and good practice guidelines that help developers in building robust and extensible applications.The book begins with the essential concepts of C# programming and the .NET platform. You get your foundation strong by understanding SOLID Principles and the actual implementation of reliable applications. You will be working on most common Design Patterns such as Abstract Factory, Adapter, Composite, Proxy, Command, Strategy, Observer, Factory Method, Singleton, Builder, Interpreter, Mediator, and many other patterns that will help you to create solid enterprise applications. You will also witness the performance of these design patterns in a real software development environment with the help of practical examples.After learning the most common Design Patterns practiced in .NET enterprise applications, the reader will be able to understand and apply good practices of software development based on the object-oriented paradigm to develop complex enterprise applications efficiently and simply. What you will learn? Fine-tune your knowledge about interfaces, polymorphism, and encapsulation.? Learn to practice implementing design patterns in enterprise applications.? Implement rich design patterns: Observer, Strategy, Command, Proxy, and more.? Get to learn the latest additional design patterns such as Builder, Bridge, and Decorator.Who this book is forThis book is for .NET developers, application developers, and software engineers who want to develop .NET applications with proven techniques and build error-free applications. This book also attracts fresh graduates and entry-level developers as long as basic knowledge about .NET is known to them.Table of Contents1. C# Fundamentals2. Introduction to .NET 53. Basic Concepts of Object-Oriented Programming4. Interfaces in C#5. Encapsulation and Polymorphism in C#6. SOLID Principles in C#7. Abstract Factory8. Abstract Factory9. Prototype10. Factory Method11. Adapter12. Composite13. Proxy14. Command15. Strategy16. Observer17. Good Practices and Additional Design PatternsAbout the Authors Alexandre Malavasi has been working in software development for the last 15 years. He has participated in many projects as a technical leader and software developer, delivering projects using Microsoft Technologies for big companies, including projects in South America, Europa, and the United States. He is also an accomplished postgraduate completing two degrees: one in IT for Business and System Analysis and two master’s degrees in software engineering with Agile Methods Emphasis and in Software Development Process. He is also Microsoft certified in Azure and web development technologies. Furthermore, the author takes part as a speaker in IT conferences and writes technical articles on web development and related topics. Based on all the contributions to the technical community worldwide, he was nominated Microsoft’s Most Valuable Professional (MVP).Blog links: https://medium.com/@alexandre.malavasiLinkedIn Profile: https://www.linkedin.com/in/alexandremalavasi/ Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939111 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=564506 Implementing Reverse Engineering : The Real Practice of X86 Internals, Code Calling Conventions, Ransomware Decryption, Application Cracking, Assembly Language, and Proven Cybersecurity Open Source Tools / Jitender NARULA / BPB Publications (2021)PermalinkImplementing VMware Dynamic Environment Manager : Manage, Administer and Control VMware DEM, Dynamic Desktop, User Policies and Complete Troubleshooting / Peter VON OVEN / BPB Publications (2021)PermalinkInstallation and Configuration of IBM Watson Analytics and StoredIQ : Complete Administration Guide of IBM Watson, IBM Cloud, Red Hat OpenShift, Docker, and IBM StoredIQ (English Edition) / Alan BLUCK / BPB Publications (2021)PermalinkInstallation, Upgrade, and Configuration of IBM Cognos Analytics : Smooth Onboarding of Data Analytics and Business Intelligence on Red Hat RHEL 8.0, IBM Cloud Private, and Windows Servers / Alan BLUCK / BPB Publications (2021)PermalinkIntelligent Automation Simplified : Learn Enterprise Automation, AI-Led Automation, and Robotic Process Automation with Use-cases / Debanjana DASGUPTA / BPB Publications (2021)PermalinkIntelligent Reliability Analysis Using MATLAB and AI : Perform Failure Analysis and Reliability Engineering using MATLAB and Artificial Intelligence (English Edition) / Cherry BHARGAVA / BPB Publications (2021)PermalinkInternals of Python 3.x : Derive Maximum Code Performance and Delve Further into Iterations, Objects, GIL, Memory management, and various Internals / Prashanth RAGHU / BPB Publications (2021)PermalinkiOS 15 Application Development for Beginners : Learn Swift Programming and Build iPhone Apps with SwiftUI and Xcode 13 / Arpit KULSRESHTHA / BPB Publications (2021)PermalinkIoT for Beginners : Explore IoT Architecture, Working Principles, IoT Devices, and Various Real IoT Projects / Vibha SONI / BPB Publications (2021)PermalinkIT Infrastructure Automation using Ansible : Guidelines to Automate the Network, Windows, Linux, and Cloud Administration / Waqas IRTAZA / BPB Publications (2021)Permalink
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