📚Building Machine Learning Powered Applications: Going From Idea to Product
✍🏻Emmanuel Ameisen (2020)
▪️Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application.
The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you:
Determine your product goal and set up a machine learning problem
Build your first end-to-end pipeline quickly and acquire an initial dataset
Train and evaluate your ML model and address performance bottlenecks
Deploy and monitor models in a production environment
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✍🏻Emmanuel Ameisen (2020)
▪️Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application.
The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you:
Determine your product goal and set up a machine learning problem
Build your first end-to-end pipeline quickly and acquire an initial dataset
Train and evaluate your ML model and address performance bottlenecks
Deploy and monitor models in a production environment
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📚Design for How People Think: Using Brain Science to Build Better Products
✍🏻John Whalen (2019)
▪️User experience doesn’t happen on a screen; it happens in the mind, and the experience is multidimensional and multisensory. This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience.
Corporate leaders, marketers, product owners, and designers will learn how cognitive processes from different brain regions form what we perceive as a singular experience. Author John Whalen shows you how anyone on your team can conduct "contextual interviews" to unlock insights. You’ll then learn how to apply that knowledge to design brilliant experiences for your customers.
• Learn about the "six minds" of user experience and how each contributes to the perception of a singular experience
• Find out how your team—without any specialized training in psychology—can uncover critical insights about your customers’ conscious and unconscious processes
• Learn how to immediately apply what you’ve learned to improve your products and services
• Explore practical examples of how the Fortune 100 used this system to build highly successful experiences
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✍🏻John Whalen (2019)
▪️User experience doesn’t happen on a screen; it happens in the mind, and the experience is multidimensional and multisensory. This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience.
Corporate leaders, marketers, product owners, and designers will learn how cognitive processes from different brain regions form what we perceive as a singular experience. Author John Whalen shows you how anyone on your team can conduct "contextual interviews" to unlock insights. You’ll then learn how to apply that knowledge to design brilliant experiences for your customers.
• Learn about the "six minds" of user experience and how each contributes to the perception of a singular experience
• Find out how your team—without any specialized training in psychology—can uncover critical insights about your customers’ conscious and unconscious processes
• Learn how to immediately apply what you’ve learned to improve your products and services
• Explore practical examples of how the Fortune 100 used this system to build highly successful experiences
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📚Базы данных. Инжиниринг надежности
✍🏻Лейн Кэмпбелл, Черити Мейджорс (2020)
▪️В сфере IT произошла настоящая революция — с инфраструктурой стали работать как с кодом. Этот процесс создает не только новые проблемы, но и возможности для обеспечения безотказной работы баз данных. Авторы подготовили это практическое руководство для всех, кто желает влиться в сообщество современных инженеров по обеспечению надежности баз данных (database reliability engineers, DBRE)
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✍🏻Лейн Кэмпбелл, Черити Мейджорс (2020)
▪️В сфере IT произошла настоящая революция — с инфраструктурой стали работать как с кодом. Этот процесс создает не только новые проблемы, но и возможности для обеспечения безотказной работы баз данных. Авторы подготовили это практическое руководство для всех, кто желает влиться в сообщество современных инженеров по обеспечению надежности баз данных (database reliability engineers, DBRE)
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📚C++ Programming: An Object-Oriented Approach
✍🏻Behrouz A. Forouzan, Richard Gilberg (2019)
▪️C++ Programming: An Object-Oriented Approach has two primary objectives: Teach the basic principles of programming as outlined in the ACM curriculum for a CS1 class and teach the basic constructs of the C++ language. While C++ is a complex and professional language, experience shows that beginning students can easily understand and use C++. C++ Programming: An Object-Oriented Approach uses a combination of thorough, well-ordered explanations and a strong visual framework to make programming concepts accessible to students. The authors stress incremental program development, wherein program analysis is followed by building a structure chart, constructing UML flow diagrams, writing algorithms, undertaking program design, and finally testing. This foundation, combined with a focus on the benefits of a consistent and well-documented programming style, prepares students to tackle the academic and professional programming challenges they will encounter down the road with confidence.
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✍🏻Behrouz A. Forouzan, Richard Gilberg (2019)
▪️C++ Programming: An Object-Oriented Approach has two primary objectives: Teach the basic principles of programming as outlined in the ACM curriculum for a CS1 class and teach the basic constructs of the C++ language. While C++ is a complex and professional language, experience shows that beginning students can easily understand and use C++. C++ Programming: An Object-Oriented Approach uses a combination of thorough, well-ordered explanations and a strong visual framework to make programming concepts accessible to students. The authors stress incremental program development, wherein program analysis is followed by building a structure chart, constructing UML flow diagrams, writing algorithms, undertaking program design, and finally testing. This foundation, combined with a focus on the benefits of a consistent and well-documented programming style, prepares students to tackle the academic and professional programming challenges they will encounter down the road with confidence.
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📚Advanced Data Science and Analytics with Python
✍🏻Jesús Rogel-Salazar (2020)
▪️Advanced Data Science and Analytics with Python
enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS application
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✍🏻Jesús Rogel-Salazar (2020)
▪️Advanced Data Science and Analytics with Python
enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS application
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📚Еще более эффективный Agile
✍🏻Макконнелл С. (2021)
▪️Любой компании хочется добиться большей эффективности разработки ПО, ведь это напрямую влияет на прибыль.
Большая часть литературы по Agile ориентирована на крупные компании с высокими темпами роста, но как быть, если ваша компания находится не на переднем фланге ИТ? Хорошая новость в том, что каждая организация может улучшить производительность, и эта книга поможет найти конкретные пути и решения, позволяющие извлечь максимальную выгоду от Agile-методов.
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✍🏻Макконнелл С. (2021)
▪️Любой компании хочется добиться большей эффективности разработки ПО, ведь это напрямую влияет на прибыль.
Большая часть литературы по Agile ориентирована на крупные компании с высокими темпами роста, но как быть, если ваша компания находится не на переднем фланге ИТ? Хорошая новость в том, что каждая организация может улучшить производительность, и эта книга поможет найти конкретные пути и решения, позволяющие извлечь максимальную выгоду от Agile-методов.
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📙JavaScript. Полное руководство. 7-е издание
✍🏻Дэвид Флэнаган (2021)
▪️В настоящей книге рассматривается язык JavaScript и API-интерфейсы JavaScript, реализованные в веб-браузерах и Node. Автор написал ее для читателей, которые имеют определенный опыт программирования и хотят изучить JavaScript, а также для программистов, которые уже используют JavaScript, но стремятся повысить уровень своих знаний и мастерства владения языком.
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✍🏻Дэвид Флэнаган (2021)
▪️В настоящей книге рассматривается язык JavaScript и API-интерфейсы JavaScript, реализованные в веб-браузерах и Node. Автор написал ее для читателей, которые имеют определенный опыт программирования и хотят изучить JavaScript, а также для программистов, которые уже используют JavaScript, но стремятся повысить уровень своих знаний и мастерства владения языком.
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📚Storytelling in Design: Defining, Designing, and Selling Multidevice Products
✍🏻Anna Dahlström (2020)
▪️With the wide variety of devices, touch points, and channels in use, your ability to control how people navigate your well-crafted experiences is fading. Yet it’s still important to understand where people are in their journey if you’re to deliver the right content and interactions atthe right time and on the right device.
This practical guide shows you how storytelling can make a powerful difference in product design. Author Anna Dahlström details the many ways you can use storytelling in your projects and throughout your organization. By applying tried-and-tested principles from film and fiction to the context of design and business, you’ll learn to create great product experiences.
• Learn how the anatomy of a great story can make a difference in product design
• Explore how traditional storytelling principles, tools, and methods relate to key product design aspects
• Understand how purposeful storytelling helps tell the right story and move people into action
• Use storytelling principles to tell, sell, and present your work
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✍🏻Anna Dahlström (2020)
▪️With the wide variety of devices, touch points, and channels in use, your ability to control how people navigate your well-crafted experiences is fading. Yet it’s still important to understand where people are in their journey if you’re to deliver the right content and interactions atthe right time and on the right device.
This practical guide shows you how storytelling can make a powerful difference in product design. Author Anna Dahlström details the many ways you can use storytelling in your projects and throughout your organization. By applying tried-and-tested principles from film and fiction to the context of design and business, you’ll learn to create great product experiences.
• Learn how the anatomy of a great story can make a difference in product design
• Explore how traditional storytelling principles, tools, and methods relate to key product design aspects
• Understand how purposeful storytelling helps tell the right story and move people into action
• Use storytelling principles to tell, sell, and present your work
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📚Базы данных. Инжиниринг надежности
✍🏻Лейн Кэмпбелл, Черити Мейджорс (2020)
▪️В сфере IT произошла настоящая революция — с инфраструктурой стали работать как с кодом. Этот процесс создает не только новые проблемы, но и возможности для обеспечения безотказной работы баз данных. Авторы подготовили это практическое руководство для всех, кто желает влиться в сообщество современных инженеров по обеспечению надежности баз данных (database reliability engineers, DBRE)
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✍🏻Лейн Кэмпбелл, Черити Мейджорс (2020)
▪️В сфере IT произошла настоящая революция — с инфраструктурой стали работать как с кодом. Этот процесс создает не только новые проблемы, но и возможности для обеспечения безотказной работы баз данных. Авторы подготовили это практическое руководство для всех, кто желает влиться в сообщество современных инженеров по обеспечению надежности баз данных (database reliability engineers, DBRE)
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📕Spring in Action, 6th Edition (MEAP)
📌Walls Craig (2021)
▪️A new edition of the classic bestseller! Spring in Action, 6th Edition covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases. You'll also find the latest Spring best practices, including Spring Boot for application setup and configuration.
About the Technology
Spring Framework makes life easier for Java developers. The latest version of Spring brings its productivity-focused approach to microservices, reactive development, and other modern application designs. With Spring Boot now fully integrated, you can start even complex projects with minimal configuration code. And in recent version of Spring, the new RSocket specification makes your application’s networking symmetrical—perfect for reactive design.
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📌Walls Craig (2021)
▪️A new edition of the classic bestseller! Spring in Action, 6th Edition covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases. You'll also find the latest Spring best practices, including Spring Boot for application setup and configuration.
About the Technology
Spring Framework makes life easier for Java developers. The latest version of Spring brings its productivity-focused approach to microservices, reactive development, and other modern application designs. With Spring Boot now fully integrated, you can start even complex projects with minimal configuration code. And in recent version of Spring, the new RSocket specification makes your application’s networking symmetrical—perfect for reactive design.
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📚Библия Linux
✍🏻Кристофер Негус (2021)
▪️Полностью обновленное 10-е издание «Библии Linux» поможет как начинающим, так и опытным пользователям приобрести знания и навыки, которые выведут на новый уровень владения Linux. Известный эксперт и автор бестселлеров Кристофер Негус делает акцент на инструментах командной строки и новейших версиях Red Hat Enterprise Linux, Fedora и Ubuntu. Шаг за шагом на подробных примерах и упражнениях вы досконально поймете операционную систему Linux и пустите знания в дело. Кроме того, в 10-м издании содержатся материалы для подготовки к экзаменам на различные сертификаты по Linux.
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✍🏻Кристофер Негус (2021)
▪️Полностью обновленное 10-е издание «Библии Linux» поможет как начинающим, так и опытным пользователям приобрести знания и навыки, которые выведут на новый уровень владения Linux. Известный эксперт и автор бестселлеров Кристофер Негус делает акцент на инструментах командной строки и новейших версиях Red Hat Enterprise Linux, Fedora и Ubuntu. Шаг за шагом на подробных примерах и упражнениях вы досконально поймете операционную систему Linux и пустите знания в дело. Кроме того, в 10-м издании содержатся материалы для подготовки к экзаменам на различные сертификаты по Linux.
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📚Как создать сайт. Комикс-путеводитель по HTML, CSS и WordPress
✍🏻Нейт Купер (2019)
▪️Пытаясь сделать сайт для своего портфолио, художница Ким попадает на удивительную планету. Чтобы вернуться домой, ей придется выучить азы HTML, победить злобного дракона 404, подружиться с веб-гуру и доброй колдуньей CSS и выяснить, что таится за стенами WordPress-сити.
В формате увлекательного комикса книга познакомит детей с языками HTML и CSS, а также с конструктором сайтов WordPress.
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✍🏻Нейт Купер (2019)
▪️Пытаясь сделать сайт для своего портфолио, художница Ким попадает на удивительную планету. Чтобы вернуться домой, ей придется выучить азы HTML, победить злобного дракона 404, подружиться с веб-гуру и доброй колдуньей CSS и выяснить, что таится за стенами WordPress-сити.
В формате увлекательного комикса книга познакомит детей с языками HTML и CSS, а также с конструктором сайтов WordPress.
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📚Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
✍🏻Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani (2021)
▪️There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures.
Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.
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✍🏻Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani (2021)
▪️There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures.
Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.
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📚Работа с ядром Windows
✍🏻Павел Йосифович (2021)
▪️Ядро Windows таит в себе большую силу. Но как заставить ее работать? Павел Йосифович поможет вам справиться с этой сложной задачей: пояснения и примеры кода превратят концепции и сложные сценарии в пошаговые инструкции, доступные даже начинающим.
В книге рассказывается о создании драйверов Windows. Однако речь идет не о работе с конкретным «железом», а о работе на уровне операционной системы (процессы, потоки, модули, реестр и многое другое).
Вы начнете с базовой информации о ядре и среде разработки драйверов, затем перейдете к API, узнаете, как создавать драйвера и клиентские приложения, освоите отладку, обработку запросов, прерываний и управление уведомлениями.
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✍🏻Павел Йосифович (2021)
▪️Ядро Windows таит в себе большую силу. Но как заставить ее работать? Павел Йосифович поможет вам справиться с этой сложной задачей: пояснения и примеры кода превратят концепции и сложные сценарии в пошаговые инструкции, доступные даже начинающим.
В книге рассказывается о создании драйверов Windows. Однако речь идет не о работе с конкретным «железом», а о работе на уровне операционной системы (процессы, потоки, модули, реестр и многое другое).
Вы начнете с базовой информации о ядре и среде разработки драйверов, затем перейдете к API, узнаете, как создавать драйвера и клиентские приложения, освоите отладку, обработку запросов, прерываний и управление уведомлениями.
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📚Data Pipelines with Apache Airflow
✍🏻Bas P. Harenslak, Julian Rutger de Ruiter (2021)
▪️A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.
About the Technology
Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task.
About the book
Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs.
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✍🏻Bas P. Harenslak, Julian Rutger de Ruiter (2021)
▪️A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.
About the Technology
Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task.
About the book
Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs.
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📕 Classic Computer Science Problems in Python
✏️ David Kopec
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!
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✏️ David Kopec
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!
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📖Основы искусственного интеллекта. Нетехническое введение
🖊Том Таулли (2021)
▪️Рассмотрены традиционные и продвинутые статистические методы машинного обучения, алгоритмы нейронных сетей для глубокого обучения, сферы применения разговорных роботов (чат-ботов), методы роботизации производственных процессов, технологии обработки естественного языка. Рассказано о применении языка Python и платформ TensorFlow и PyTorch при внедрении проектов ИИ. Освещены современные тренды ИИ: автономное вождение, милитаризация, технологическая безработица, изыскание новых лекарственных препаратов и другие.
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🖊Том Таулли (2021)
▪️Рассмотрены традиционные и продвинутые статистические методы машинного обучения, алгоритмы нейронных сетей для глубокого обучения, сферы применения разговорных роботов (чат-ботов), методы роботизации производственных процессов, технологии обработки естественного языка. Рассказано о применении языка Python и платформ TensorFlow и PyTorch при внедрении проектов ИИ. Освещены современные тренды ИИ: автономное вождение, милитаризация, технологическая безработица, изыскание новых лекарственных препаратов и другие.
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📚Machine Learning for High-Risk Applications
👉🏻Patrick Hall, Rumman Chowdhury (2021)
▪️The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Authors Patrick Hall and Rumman Chowdhury created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large. Learn how to create a successful and impactful responsible AI practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development.
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@itlibrary
👉🏻Patrick Hall, Rumman Chowdhury (2021)
▪️The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Authors Patrick Hall and Rumman Chowdhury created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large. Learn how to create a successful and impactful responsible AI practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development.
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@itlibrary
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