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: Transformer, BERT, and GPT3 : Including ChatGPT and Prompt Engineering
: Oswald Campesato
: Mercury Learning and Information
: 2024
: 379
:
: pdf (true)
: 25.3 MB

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. Although this book is introductory in nature, some knowledge of Python 3.x with certainly be helpful for the code samples. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs. This book is intended primarily for people who have a basic knowledge of Machine Learning or software developers who are interested in working with LLMs.
: Ingvar16 24-11-2023, 15:54 | : 0 |

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: polyanskiy 24-11-2023, 14:57 | : 0 |

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: polyanskiy 24-11-2023, 14:55 | : 0 |
: Data Literacy With Python
: Oswald Campesato
: Mercury Learning and Information
: 2024
: 271
:
: pdf (true)
: 14.6 MB

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modernindustries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.
: Ingvar16 24-11-2023, 13:34 | : 0 |

: Modern C Programming: Including Standards C99, C11, C17, C23
: Orhan Gazi
: Springer
: 2023
ISBN: 978-3-031-45361-8
: 395
: PDF
: 22 M
: English

This book provides comprehensive detail about modern C programming, including the standards C99, C11, C17, C23, reflecting recent updates. The book features a number of targeted examples, atomic data types, and threads. After covering the standards of C, the author explains data types, operators, loops, conditional statements, functions, pointers, and more. The book is intended primarily for electrical and hardware engineers looking to use or update their knowledge of modern C programming.
: Gena_Bukin 24-11-2023, 12:52 | : 0 |
: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
: Prashant Pranav, Archana Patel, Sarika Jain
: CRC Press
: 2024
: 225
:
: pdf (true)
: 17.2 MB

This book brings together a blend of different areas of Machine Learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, Computer Science, cyber-security, information technology, and applied mathematics.
: Ingvar16 24-11-2023, 04:10 | : 0 |
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: rivasss 24-11-2023, 00:13 | : 0 |
: Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
: Abdelaziz Testas
: Apress
: 2023
: 500
:
: pdf, epub, mobi
: 10.2 MB

Migrate from Pandas and Scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and Machine Learning with PySpark. You will learn to translate Python code from Pandas/Scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular Machine Learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na?ve Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using PySpark, the industry standard for building scalable ML data pipelines. Data scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.
: Ingvar16 23-11-2023, 22:38 | : 0 |
: Learn Microservices with Spring Boot 3: A Practical Approach Using Event-Driven Architecture, 3rd Edition
: Moises Macero Garcia, Tarun Telang
: Apress
: 2023
: 475
:
: pdf, epub
: 12.4 MB

This book will show you how to build Java-based microservices architecture using the popular Spring Boot framework by evolving a small monolith application to an event-driven architecture composed of several services. This third edition has been updated to cover Spring Boot 3, including its compatibility with Java 17 and Jakarta EE 10, and employs an incremental approach to teach the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. Authors Mois?s Macero and Tarun Telang get the ball rolling by introducing you to the fundamentals of microservices and Spring Boot before walking you through the development of a basic Spring Boot application. Youll then see how to build a front end using React, and learn how to use the data layer to read and write data from and to other systems via Spring Boot and its access to Spring Data and its available APIs. Putting together what you've learned thus far, youll begin to transform an application from a monolith to a microservice. Those with at least some prior experience with Java programming. Some prior exposure to Spring Boot recommended but not required.
: Ingvar16 23-11-2023, 22:05 | : 0 |
: Intelligent Multimedia Processing and Computer Vision: Techniques and applications
: Shyam Singh Rajput, Chen Chen, Karm Veer Arya
: The Institution of Engineering and Technology
: 2023
: 369
:
: pdf (true)
: 18.2 MB

This book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas. In recent time, wavelet transforms have become useful in many signal, image and video processing applications, especially for multimedia security and surveillance. A few applications of wavelets in security and surveillance are watermarking, fusion, steganography, object detection, tracking, motion recognition and intention recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution analysis. This book entitled Intelligent Multimedia Processing and Computer Vision: Techniques and applications focuses on state-of-the-art research in various fields of multimedia processing and computer vision along with the applications of Artificial Intelligence, Machine Learning, and Deep Learning to perform various processing tasks in numerous applications. The unique contribution of this volume is to bring together researchers from distinct domains that seldom interact to identify theoretical, technological, and practical issues related to the Intelligent Multimedia Processing and Computer Vision. The book is intended to enhance the understanding of opportunities and challenges in intelligent multimedia processing and its applications at the global level. We hope that the readers will find this book of great value in its visionary words.
: Ingvar16 23-11-2023, 19:20 | : 0 |

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