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 Название: Telling Stories with Data With Applications in R
Автор: Rohan Alexander
Издательство: CRC Press
Год: 2023
Страниц: 623
Язык: английский
Формат: pdf (true)
Размер: 35.2 MB
The book equips students with the end-to-end skills needed to do Data Science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. At the moment, there are a lot of books that teach data science, but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets, cleaning and preparing them, before analysing them. There are also a lot of books that teach statistical modelling, but few of them teach how to communicate the results of the models and how they help us learn about the world. Very few data science textbooks cover ethics, and most of those that do, have a token ethics chapter. Finally, reproducibility is not often emphasised in Data Science books. | |
Разместил: Ingvar16 2-07-2023, 16:14 | Комментарии: 0 | Подробнее
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 Название: The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives
Автор: Silja Voeneky, Philipp Kellmeyer, Oliver Mueller
Издательство: Cambridge University Press
Год: 2022
Страниц: 528
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
In the past decade, Artificial Intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. | |
Разместил: Ingvar16 2-07-2023, 15:39 | Комментарии: 0 | Подробнее
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 Название: Graph Algorithms for Data Science (MEAP v7)
Автор: Tomaz Bratanic
Издательство: Manning Publications
Год: 2023
Страниц: 386
Язык: английский
Формат: pdf, epub
Размер: 18.1 MB
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. For data scientists who know the basics of Machine Learning. Examples use the Cypher query language, which is explained in the book.
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Разместил: Ingvar16 2-07-2023, 07:44 | Комментарии: 0 | Подробнее
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 Название: Effective Go (MEAP v4)
Автор: Inanc Gumus
Издательство: Manning Publications
Год: 2023
Страниц: 395
Язык: английский
Формат: pdf, epub
Размер: 12.7 MB
Unlock Go’s unique perspective on program design, and start writing simple, maintainable, and testable Go code. Effective Go is a practical guide to writing high-quality code that’s easy to test and maintain. The book is full of best practices to adopt and anti-patterns to dodge. It explores what makes Go so dramatically different from other languages and how you can still leverage your existing skills into writing excellent Go code. Aimed at Go beginners looking to graduate to serious Go development, this book will help you write and test command line applications, web API clients and servers, concurrent programs, and more. Writing well-designed Go code takes more than just porting across skills you’ve learned in other languages. For programmers who have learned the basics of Go.
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Разместил: Ingvar16 2-07-2023, 07:32 | Комментарии: 0 | Подробнее
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 Название: Developing A Computer Operating System From Scratch: An Attempt To Introduce OS Development At Beginner Level
Автор: Tinu Tom
Издательство: Leanpub
Год: 2023-01-27
Страниц: 209
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB
The first ever book aiming to introduce Operating System Development to absolute beginners. The topics start from Programming in C, Programming in Assembly, and progress to practical OS Development. The book only uses simple methods, so that only a few topics in Programming in C and Assembly are covered, making it suitable for beginners. Operating System Development or OS Development is a topic that is often labeled as "Only for Geeks." Newcomers to this area often find it hard to understand and implement due to a lack of beginner-level documentation. A change for this is needed. The aim of this book is to make OS Development approachable for anyone interested in the topic. In this book, we will start with Programming in C, Programming in Assembly, and move on to practical OS Development.
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Разместил: Ingvar16 2-07-2023, 07:18 | Комментарии: 0 | Подробнее
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 Название: Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch
Автор: Karthikeyan A.K.
Издательство: Independently published
Год: 2021
Страниц: 410
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB
I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more? This book should be seen as my attempt to explain Data Science to my self and nothing more. Will this book rise to professional stature is yet to be seen.
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Разместил: Ingvar16 2-07-2023, 06:57 | Комментарии: 0 | Подробнее
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 Название: Building reproducible analytical pipelines with R
Автор: Bruno Rodrigues
Издательство: Leanpub
Год: 2023-06-04
Страниц: 522
Язык: английский
Формат: pdf (true)
Размер: 18.9 MB
Build reproducible analytical pipelines to output consistent, high-quality data products using R, Github and Docker. Learn about functional and literate programming to keep your code concise, easier to test and share and easily understandable by others by packaging it. Run your pipelines on Github Actions and focus on what matters: analysing data! This book will not teach you about the R programming language, Machine Learning, statistics or visualisation. The goal is to teach you a set of tools, practices and project management techniques that should make your projects easier to reproduce, replicate and retrace. These tools and techniques can be used right from the start of your project at a minimal cost, such that once you’re done with the analysis, you’re also done with making the project reproducible. Your projects are going to be reproducible simply because they were engineered, from the start, to be reproducible.
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Разместил: Ingvar16 2-07-2023, 05:57 | Комментарии: 0 | Подробнее
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 Название: Data Structures & Algorithms for all programmers
Автор: Israel C. Abazie
Издательство: Independently published
Год: 2023
Страниц: 655
Язык: английский
Формат: pdf
Размер: 31.1 MB
Dive into over 90 captivating algorithm challenges, spanning more than 600 pages of insights and real-world applications. With comprehensive coverage of essential data structures like linked lists, stacks, queues, trees, and graphs, you'll be fully prepared for success in interviews and equipped to thrive at top tech companies worldwide.
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Разместил: Ingvar16 2-07-2023, 05:34 | Комментарии: 0 | Подробнее
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 Название: C# Concurrency: Asynchronous and multithreaded programming (MEAP v4)
Автор: Nir Dobovizki
Издательство: Manning Publications
Год: 2023
Страниц: 126
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! Concurrency is a developers’ secret weapon for maximizing an application's performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality.
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Разместил: Ingvar16 1-07-2023, 15:54 | Комментарии: 0 | Подробнее
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 Название: Python Data Science
Автор: Chaolemen Borjigin
Издательство: Springer/Publishing House of Electronics Industry
Год: 2023
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB
Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for Data Science. In addition, it includes suggestions for further reading. Python is a general-purpose language so that it can be used for a wide range of applications, such as Data Science, computer science, software engineering, mathematics, life science, linguistics, and journalism. However, learning Python programming for data science requires its unique specific knowledge tailored to its use in that field.
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Разместил: Ingvar16 1-07-2023, 15:23 | Комментарии: 0 | Подробнее
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