Название: Coding Interview Patterns: Nail Your Next Coding Interview
Автор: Alex Xu, Shaun Gunawardane
Издательство: ByteByteGo
Год: November 25, 2024
Страниц: 437
Язык: английский
Формат: pdf
Размер: 61.6 MB

Coding interviews are tough, and they're only getting tougher, typically demanding months of preparation. What we all want is a way to master algorithms and data structures without having to spend countless hours sifting through endless, unfocussed resources. Introducing "Coding Interview Patterns," your complete guide to mastering the key patterns needed to ace your next coding interview.

Название: Большие данные. Современные фреймворки и разработка приложений
Автор: Талия Д., Трунфио П., Мароццо Ф., Белькастро Л.
Издательство: ДМК Пресс
Год: 2025
Страниц: 274
Язык: русский
Формат: pdf
Размер: 10.4 MB

В книге рассматриваются модели, системы и фреймворки, специально разработанные для обработки и анализа больших наборов данных. Вы познакомитесь с основными парадигмами и механизмами, применяемыми в анализе больших данных, включая MapReduce, рабочие потоки, массовый синхронный параллелизм, передачу сообщений и SQL-подобные модели. В главах книги описаны примеры использования фреймворков Hadoop, Spark, Storm и MPI и рассмотрены вопросы выбора среды, наиболее подходящей для достижения целевых задач приложения. Книга предназначена разработчикам приложений для работы с большими данными, исследователям и профессионалам бизнеса, основанного на данных. Читатель должен хорошо владеть такими языками, как Java, Python или Scala, и знать основные концепции параллельного и распределенного программирования.

Название: Парадигма программирования
Автор: Городняя Л. В.
Издательство: Лань
Год: 2021 - 2-е изд.
Cтраниц: 232
Формат: pdf (ocr)
Размер: 23 мб
Язык: русский

Курс лекций посвящен проблеме анализа, сравнения и определения парадигм программирования и парадигмальной характеристике языков и систем программирования. Содержание представляет интерес для специалистов по программированию и информационным технологиям.

Название: Human Pose Analysis: Deep Learning Meets Human Kinematics in Video
Автор: Songlin Du, Takeshi Ikenaga
Издательство: Springer
Год: 2025
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 50.7 MB

This book stands at the intersection of Computer Vision, Artificial Intelligence (AI), and human kinematics, offering a comprehensive exploration of the principles, methodologies, and applications of human pose analysis in video data. It covers two main aspects: human body pose analysis and human head pose analysis. Human body pose analysis involves estimating the position and orientation of major joints and body parts, such as the head, neck, shoulders, elbows, wrists, hips, knees, and ankles, to capture the entire body posture in 2D or 3D space. In contrast, human head pose analysis focuses solely on the head’s orientation, typically estimating the angles of rotation around the yaw, pitch, and roll axes to determine the direction in which a person is looking or tilting their head. The proposed method was implemented by programming in Python under the framework of PyTorch.

Название: Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications
Автор: Cuantum Technologies
Издательство: Cuantum Technologies
Серия: Advanced Data Analysis Series
Год: November 6, 2024
Страниц: 506
Язык: английский
Формат: pdf, epub
Размер: 13.2 MB

Unleash the Power of Feature Engineering for Cutting-Edge Machine Learning. Transform raw data into powerful features with Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications. This essential guide takes you beyond the basics, teaching you how to create, optimize, and automate features that elevate Machine Learning (ML) models. With a focus on real-world applications and advanced techniques, this book equips data scientists, Machine Learning engineers, and analytics professionals with the skills to make impactful, data-driven decisions. This book aims to provide a practical and hands-on approach to starting with Mastering the Creative Power of AI. Whether you are a beginner without programming experience or an experienced programmer looking to expand your skills, this book is designed to help you develop your skills and build a solid foundation in Generative Deep Learning with Python.

Название: Time Series Analysis and Its Applications: With R Examples, 5th Edition
Автор: Robert H. Shumway, David S. Stoffer
Издательство: Springer
Год: 2025
Страниц: 608
Язык: английский
Формат: pdf (true)
Размер: 19.6 MB

This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package ‘astsa’ has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).

Название: Predictive Analytics with SAS and R: Core Concepts, Tools, and Implementation
Автор: Ramchandra S Mangrulkar, Pallavi Vijay Chavan
Издательство: Apress
Год: 2025
Страниц: 189
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.8 MB

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background. The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models. After reading the book, you will be able to put predictive analytics principles into practice.

Название: Вредные советы для C++ программистов
Автор: Андрей Карпов
Издательство: Автор
Год: 2023
Страниц: 245
Язык: русский
Формат: pdf
Размер: 16.9 MB

В книге читателю предлагается обширный список «советов», которым на самом деле не стоит следовать. Каждый совет сопровождается подробным разбором и рассмотрением неочевидных моментов. Эти пояснения будут полезны новичкам, изучающим программирование. Впрочем, книга развлечёт и профессионалов рассмотрением некоторых нюансов программирования на C++.

Название: Artificial Intelligence in Medicine and Healthcare
Автор: Ajay Kumar, Sangeeta Rani, Sarita Rathee, Naveen Hemrajani
Издательство: CRC Press
Год: 2025
Страниц: 214
Язык: английский
Формат: pdf (true), epub
Размер: 11.6 MB

This book is discussing Artificial Intelligence-based smart systems for diagnosis and prediction of diseases, Artificial Intelligence in clinical decision-making, and Artificial Intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of Machine Learning and Deep Learning in pandemic epidemiology. The emergence of Artificial Intelligence (AI) in medicine and healthcare has been groundbreaking, reshaping the way it diagnoses, treats, and monitors patients. This book provides AI algorithms, tools, and applications based on their intended use in medicine and healthcare. Specifically, it explores AI technologies that are utilized for healthcare, including but not limited to An Artificial Intelligence Inspired IoT Based Solution, Machine Learning Modeling for Smart Healthcare, Deep Learning-based Smart Healthcare Technology, and Robotics in Healthcare, etc.

Название: ChatGPT and the Future of AI: The Deep Language Revolution
Автор: Terrence J. Sejnowski
Издательство: The MIT Press
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true), epub (true)
Размер: 19.1 MB

An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world. InChatGPT and the Future of AI , the sequel toThe Deep Learning Revolution , Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology. Sejnowski begins by describing the debates surrounding LLMs’ comprehension of language and exploring the notions of “thinking” and “intelligence.” He then takes a deep dive into the historical evolution of language models, focusing on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs.