Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Ashish Bansal

Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems.

Advanced Python Programming. Accelerate your Python programs using proven techniques and design patterns - Second Edition

Quan Nguyen

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level.This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models.The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming.You'll also understand the common problems that cause undesirable behavior in concurrent programs.Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable.By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:• Python High Performance - Second Edition by Gabriele Lanaro• Mastering Concurrency in Python by Quan Nguyen• Mastering Python Design Patterns by Sakis Kasampalis

Advanced Serverless Architectures with Microsoft Azure. Design complex serverless systems quickly with the scalability and benefits of Azure

Daniel Bass

Advanced Serverless Architectures with Microsoft Azure redefines your experience of designing serverless systems. It shows you how to tackle challenges of varying levels, not just the straightforward ones. You'll be learning how to deliver features quickly by building systems, which retain the scalability and benefits of serverless.You'll begin your journey by learning how to build a simple, completely serverless application. Then, you'll build a highly scalable solution using a queue, load messages onto the queue, and read them asynchronously. To boost your knowledge further, the book also features durable functions and ways to use them to solve errors in a complex system. You'll then learn about security by building a security solution from serverless components. Next, you’ll gain an understanding of observability and ways to leverage application insights to bring you performance benefits. As you approach the concluding chapters, you’ll explore chaos engineering and the benefits of resilience, by actively switching off a few of the functions within a complex system, submitting a request, and observing the resulting behavior. By the end of this book, you will have developed the skills you need to build and maintain increasingly complex systems that match evolving platform requirements.

Advanced UFT 12 for Test Engineers Cookbook. Over 60 practical recipes to help you accomplish automation tasks using UFT 12 and VBScript

Jonathon L Wright, Meir Bar-Tal, Jonathon Lee Wright

Adversarial AI Attacks, Mitigations, and Defense Strategies. A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps

John Sotiropoulos

Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies.The strategy-based book is a comprehensive guide to AI security, presenting a structured approach with practical examples to identify and counter adversarial attacks. This book goes beyond a random selection of threats and consolidates recent research and industry standards, incorporating taxonomies from MITRE, NIST, and OWASP. Next, a dedicated section introduces a secure-by-design AI strategy with threat modeling to demonstrate risk-based defenses and strategies, focusing on integrating MLSecOps and LLMOps into security systems. To gain deeper insights, you’ll cover examples of incorporating CI, MLOps, and security controls, including open-access LLMs and ML SBOMs. Based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI.By the end of this book, you’ll be able to develop, deploy, and secure AI systems effectively.

Advertising on Google: The High Performance Cookbook. Cracking pay-per-click on Google can increase your visitor numbers and profits. Here are over 120 practical recipes to help you set up, optimize and manage your Adwords campaign with step-by-step instructions

Kristina Cutura

Agile Development. Filozofia programowania zwinnego

James Shore, Shane Warden

Zbiór praktycznych wskazówek dla producentów oprogramowania Jak wdrożyć metodologię programowania zwinnego? W jaki sposób zaangażować klientów w projekt? Jak kontrolować jakość produktów? Programowanie zwinne (Agile Development) to obecnie jedna z najpopularniejszych metodologii zarządzania projektami programistycznymi. Metodyka Agile jest szczególnie użyteczna w małych zespołach programistycznych, w których z racji ułatwionej komunikacji nie ma potrzeby tworzenia rozbudowanej dokumentacji. Programowanie zwinne opiera się na iteracyjnej realizacji kolejnych etapów projektu. Kluczem do sukcesu w tej metodzie jest efektywna współpraca między członkami zespołu projektowego. Książka "Agile Development. Filozofia programowania zwinnego" to przewodnik po programowaniu ekstremalnym, oznaczanym zwykle skrótem XP, które jest jedną z technik wchodzących w skład tej metodyki. Czytając ją, dowiesz się, jak wdrażać metodologię Agile w firmie, na czym polega programowanie ekstremalne i jaką rolę w procesie pełnią poszczególni członkowie grupy projektowej. Nauczysz się budować zespół i określać zakresy zadań osób biorących udział w pracach, planować harmogram udostępniania kolejnych wersji produktu oraz kierować procesem jego tworzenia. Poznasz metody testowania programu i usuwania z niego błędów, zasady pisania dokumentacji oraz reguły prowadzenia spotkań roboczych z klientami. Wdrażanie programowania zwinnego Techniki programowania ekstremalnego Członkowie zespołu XP Zarządzanie zespołem Angażowanie klienta w proces wytwórczy Tworzenie raportów Udostępnianie kolejnych wersji systemu Standardy pisania kodu Testowanie i usuwanie błędów Optymalizacja wydajności programu Od filozofii do mistrzostwa w zwinnym programowaniu!