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Cracking the Data Science Interview

In today’s dynamic technological landscape, the demand for skilled professionals in artificial intelligence (AI) and data science roles has surged, and the data science job market is increasingly saturated by various levels of data science and AI employees. This book is a comprehensive guide, crafted to equip both aspiring and seasoned individuals with the essential tools and knowledge required to navigate the intricacies of data science interviews. Whether you’re stepping into the AI realm for the first time or aiming to elevate your expertise, this book offers a holistic approach to mastering the fundamental and cutting-edge facets of the field.The chapters within this book span a wide spectrum of critical subjects, from programming with Python and SQL to statistical analysis, pre-modeling and data cleaning concepts, machine learning (ML), deep learning, Large Language Models (LLMs), and generative AI. We aim to provide a comprehensive review and update on the foundational concepts while also delving into the latest advancements. In an era marked by the disruptive potential of language models and generative AI,it’s imperative to continually hone your skills. This book serves as a compass, guiding you through the intricacies of these transformative technologies, ensuring you’re poised to tackle the challenges and harness the opportunities they present

Рецепты Python. Коллекция лучших техник программирования

В «Рецептах Python» используется простой, но эффективный метод освоения 63-х базовых навыков программирования на Python. Сначала формулируется вопрос, например «Как найти элементы в последовательности?» Затем приводится базовое решение на чистом понятном коде. Далее исследуются другие интересные подходы, такие как поиск подстрок или пользовательские классы. Перед переходом к следующему вопросу полученные навыки закрепляются с помощью решения задач. Автор рассматривает все языковые средства, необходимые для уверенного владения Python. По ходу знакомства с книгой вы изучите лучшие приемы написания питонического кода. В освоении каждого инструмента помогут конкретные рекомендации и рисунки. Многочисленные перекрестные ссылки указывают на возможность повторного использования рассматриваемых средств и концепций в различных контекстах.

Рендеринг на основе законов физики

В книге описывается рендеринг, основанный на рейтрейсинге – алгоритме трассировки лучей, который способен отображать физически реалистичные изображения сложных сцен. Описывается рейтрейсинг как вычислительный метод, основанный на физике процесса; рассматриваются радиометрия, спектры и цвет, представление геометрии сцены, иерархии ограничивающих объемов, текстуры и материалы, семплинг и антиалиасинг, источники света и многое другое. Большое внимание уделяется оптимизации процесса рендеринга, а также использовани. графического процессора для ускорения вычислений. Издание предназначено для разработчиков программного обеспечения, тех, кто занимается исследованиями в области компьютерной графики, а также студентов и аспирантов, обучающихся по данному направлению.

Critical Infrastructure Security

This book offers an essential guide for anyone aiming to fortify critical infrastructure against cyber threats. It merges fundamental cybersecurity principles with compelling real-world case studies, enhancing retention and offering engaging insights into the complexities of critical infrastructure cybersecurity. The book specifically addresses the knowledge gap brought about by the convergence of Information Technology (IT) and Operational Technology (OT), providing valuable perspective for practitioners navigating this evolving landscape. It serves as an invaluable resource for cyber defenders, delivering practical knowledge gained from historical cyber incidents to prevent future breaches. From exploring vulnerabilities to presenting strategies for protection, this book equips readers with the understanding necessary to mitigate attacks on critical infrastructure

C++ Game Development Cookbook

This book provides a detailed look at some of the aspects of C++ which could be used for games development.Game Development Basics, explains the basics of C++ programming, writing small programs to be used in games, and how to handle memory in games.

C++ Game Animation Programming

Character animations have existed since the first games were created for computers. The spaceships in SpaceWar!, written by Steve Russell in 1962 for a PDP-1, and Computer Space by Nolan Bushnell, released in 1971 as an arcade cabinet, were animated, with the animation showing the direction in which the spaceships headed.

Data Engineering with Google Cloud Platform

There is too much information – too many options and plans. Things are complicated. We live in a world where there is more and more information, which can be as problematic as too little information, and I’m aware that this condition applies when people want to start doing data engineering in the cloud, specifically Google Cloud Platform (GCP) in this book.

Data Engineering with Scala and Spark

Every company today is a data company regardless of the industry. Innovative companies use data to analyze the past, predict what will happen, and react to what is happening now. Data engineers are some of the most critical employees at companies today. They are essential for collecting, cleaning, and maintaining trusted datasets that analysts, data scientists, and reporting tools use to provide insights.

C++17 Standard Library Quick Reference

The C++ Standard Library is a collection of essential classes and functions used by millions of C++ programmers on a daily basis. Being part of the ISO Standard of the C++ Programming Language, an implementation is distributed with virtually every C++ compiler. Code written with the C++ Standard Library is therefore portable across compilers and target platforms.

Data Labeling in Machine Learning with Python

In today’s data-driven era, where more than 2.5 quintillion bytes of data are produced daily in various forms such as text, image, audio, and video, data stands as the cornerstone of the AI revolution. However, the majority of real-world data available for training supervised machine learning models lacks labels, or we encounter limited labeled data. This presents a significant challenge, as labeled data is essential for training any supervised machine learning model and fine-tuning large language models in the age of generative AI.To address the scarcity of labeled data and facilitate the preparation of labeled data for training supervised machine learning models and fine-tuning large language models, this book introduces various methods for programmatic data labeling using Python libraries and methods, including semisupervised and unsupervised learning.

Data Structures and Algorithms with the C++ STL

Welcome to Data Structures and Algorithms with the C++ STL, a resource that aims to deepen your understanding of data structures and algorithms using the robust tools provided by the C++ Standard Template Library (STL). Within these pages, you will explore std::vector, advanced usage of sequence and associative containers, in-depth discussions on STL algorithms and their enhancements with modern C++ features, and a penetrating look at creating STL-compatible types and algorithms.

Реверсивный инжиниринг приложений под Windows

Реверсивный инжиниринг считается одним из наиболее сложных направлений в информационной безопасности (ИБ). В книге автор предлагает при- открыть завесу тайны над этой темой и с помощью практических примеров рассмотреть, как работают приложения под ОС Windows, а также разобраться в том, как эксплуатировать уязвимости переполнения буфера, размещать свой код в выполнимых файлах, находить полезную информацию в дампах памяти и многое другое. Книга предназначена как для начинающих специалистов, желающих разобраться в реверс-инжиниринге, так и для опытных специалистов по ИБ, интересующихся данной темой.

Databricks ML in Action

In this book, you will discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform. You’ll develop expertise in Databricks’ managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You’ll discover how to leverage the open source Databricks platform to enhance your learning, boost your skills, and elevate your productivity with supplemental resources.By the end of this book, you’ll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.

Расширенная аналитика с PySpark

Книга посвящена практическим методам анализа больших объемов данных с использованием языка Python и фреймворка Spark, она знакомит с моделью программирования Spark и основами системы с открытым исходным кодом PySpark. Каждая глава описывает отдельный аспект анализа данных, показаны основы обработки данных в PySpark и Python на примере очистки данных, подробно освещается машинное обучение с помощью Spark. Книга поможет читателю понять, как устроен и работает весь конвейер PySpark для комплексной аналитики больших наборов данных: от создания и оценки моделей до очистки, предварительной обработки и исследования данных с особым акцентом на производственные приложения. Отдельные главы посвящены обработке изображений и библиотеке Spark NLP.

Defending APIs

In today’s hyper-connected digital world, APIs are ubiquitous in providing the connecting tissue between systems and services. The growth of APIs continues at an exponential pace, with almost every developer either responsible for creating APIs of their own or consuming APIs as part of their solution. Unfortunately, attackers have shifted their focus to attacking APIs first, and the alarming rise in API incidents and breaches is testimony to the challenges developers face in producing APIs that are secure and robust.

Designing Hexagonal Architecture with Java

Sometimes, solving problems and expressing our ideas through code is challenging. What looks like an obvious solution in our minds may look unnecessarily complex in the minds of others. But that’s alright if we are open to new ideas and perspectives because we set our minds to learning unexpected things when we have a persistent attitude and a willingness to embrace everything that comes.I was not expecting it when I was first introduced to hexagonal architecture.