Packt, 2020. — 350 p. — ISBN: 9781789538465. !Code files only Develop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services. Learn Understand the basics of cloud computing and explore GCP components Work with the data ingestion and preprocessing techniques in GCP for machine learning Implement machine learning algorithms with Google Cloud AutoML...
Packt Publishing, 2018. — 218 p. — ISBN: 1789136245. !Code files only MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and...
Wiley, 2013. — 432 p. Data science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. Seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. And in Data Smart, MailChimp's Chief Scientist, John Foreman,...
2nd Edition. — Packt Publishing Ltd., 2020. — 350 p. — ISBN: 978-1-80020-250-4. Code files only! Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook’s functionality to understand how data science can be applied to solve real-world data problems. From banking and manufacturing through to education and entertainment,...
Packt Publishing, 2018. — 414 p. — ISBN: 978-1-78913-940-2. Code files only! A hands-on guide for professionals to perform various data science tasks in R R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the...
Packt Publishing, 2017. — 210 p. — ISBN: 978-1787284586. Build strong foundation of machine learning algorithms In 7 days. Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized...
2nd Edition. — Packt Publishing, 2018. — 207 p. — ISBN: 978-1-78980-607-6. Code files only! Build a strong foundation of machine learning algorithms in 7 days Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various...
Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. Only code files! A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective....
New York: Packt Publishing, 2017. — 360 p. A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and...
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare. — Packt Publishing, 2020. — 816 p. — ISBN: 978-1-83898-126-6. Code files only! Cut through the noise and get real results with a step-by-step approach to data science You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science...
Packt Publishing, 2018. — 490 p. Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights. Industry expert David Taieb bridges the gap...
СПб.: БХВ-Петербург, 2004. 336с.: ил
В книге освещены основные направления в области анализа данных: организация хранилища данных, оперативный (OLAP) и интеллектуальный (Data Mining) анализ данных. Приведено описание методов и алгоритмов решения основных задач: классификация, кластеризация и др. Описание идеи каждого метода дополняется конкретным примером его применения....
Идентификация проблемной области.
Постановка задачи.
Назначение ЭС.
Класс ЭС по решаемой задаче.
Цель.
Ожидаемые результаты.
Промежуточные цели.
Исходные данные.
Концептуализация предметной области.
Извлечение знаний.
Анализ методом главных компонент.
Кластерный анализ с помощью дендрограмм.
Кластерный анализ с помощью Карт Кохонена.
Построение деревьев решений....
М.: Издательские решения, 2021. — 122 с. Разберитесь, как работают технологии машинного обучения, и научитесь пользоваться ими осознанно. Математика для DS - программа из 3-х курсов, которая поможет: 1. Разобраться в теории Вы любите доходить до самой сути всего, что делаете. Вам интересно, что стоит за теми алгоритмами, которые вы применяете. 2. Подготовиться к собеседованию...
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