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Mastering Java for Data Science, Grigorev Alexey


Варианты приобретения
Цена: 62820.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 1 шт.  Склад Америка: 138 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября

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Автор: Grigorev Alexey
Название:  Mastering Java for Data Science
ISBN: 9781782174271
Издательство: Packt Publishing
Классификация:

ISBN-10: 1782174273
Обложка/Формат: Paperback
Страницы: 364
Вес: 0.63 кг.
Дата издания: 28.04.2017
Язык: English
Размер: 23.50 x 19.05 x 1.91 cm
Читательская аудитория: General (us: trade)
Рейтинг:
Поставляется из: Англии
Описание: Contains the proceedings of the 2015 Clifford Lectures on Algebraic Groups, held March 2015. The six articles cover an enhanced exposition of the classical results of Chevalley and Rosenlicht on the structure of algebraic groups; an enhanced survey of the recently developed theory of pseudo-reductive groups; and an exposition of the recently developed operational $K$-theory for singular varieties.

Alexey Brodovitch

Автор: Purcell Kerry
Название: Alexey Brodovitch
ISBN: 0714863173 ISBN-13(EAN): 9780714863177
Издательство: Phaidon Press Ltd.
Рейтинг:
Цена: 26350.00 T
Наличие на складе: Невозможна поставка.
Описание: A comprehensive monograph on the legendary graphic designer`s life and work.

Kotlin Design Patterns and Best Practices - Second Edition: Build scalable applications using traditional, reactive, and concurrent design patterns in

Автор: Soshin Alexey
Название: Kotlin Design Patterns and Best Practices - Second Edition: Build scalable applications using traditional, reactive, and concurrent design patterns in
ISBN: 1801815720 ISBN-13(EAN): 9781801815727
Издательство: Неизвестно
Рейтинг:
Цена: 55170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of Kotlin Design Patterns and Best Practices provides you with the most up-to-date overview of how to design applications using Kotlin. You`ll explore patterns you may already know from other languages and learn patterns that are specific to Kotlin for building highly scalable, maintainable, and extensible applications.

Representations of the Afterlife in Luke-Acts

Автор: Alexey Somov
Название: Representations of the Afterlife in Luke-Acts
ISBN: 0567667111 ISBN-13(EAN): 9780567667113
Издательство: Bloomsbury Academic
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Цена: 137280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Questions regarding the afterlife are many, and the Gospel of Luke and the book of Acts pay a great deal of attention to them: why does Luke speak about several different forms of the afterlife? Why is resurrection described as a person's transformation into an angelic being? How many abodes are appointed for the righteous and the wicked after death? Alexey Somov addresses these queries in relation to the apparent confusion and variety found in the text, and in respect of the interrelatedness of these issues, and their connection with other eschatological issues in Luke-Acts, and in relation to the wider cultural context of the Mediterranean world to which Luke belonged. Every culture expresses its beliefs by means of special metaphors that allow it to comprehend supernatural realities in terms of everyday experience. Belief in the afterlife was part of this metaphorical system which Luke shared with the ancient eastern Mediterranean culture. Somov takes his analysis one step further by applying Cognitive Metaphor Theory to selected metaphorical aspects of the afterlife. While the inconsistencies and incoherence of the combined metaphors may seem jarring to a contemporary Western reader, Somov's reading enables a recognition of the specific religious metaphors used, which for Luke would have been current and widely accepted.

Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects

Автор: Grigorev Alexey
Название: Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects
ISBN: 1617296813 ISBN-13(EAN): 9781617296819
Издательство: Неизвестно
Рейтинг:
Цена: 52790.00 T
Наличие на складе: Невозможна поставка.
Описание: Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.

Summary
In Machine Learning Bookcamp you will:

Collect and clean data for training models
Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
Apply ML to complex datasets with images
Deploy ML models to a production-ready environment

The only way to learn is to practice! In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. You'll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three!

About the book
Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You'll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills!

What's inside

Collect and clean data for training models
Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
Deploy ML models to a production-ready environment

About the reader
Python programming skills assumed. No previous machine learning knowledge is required.

About the author
Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data.

Table of Contents

1 Introduction to machine learning
2 Machine learning for regression
3 Machine learning for classification
4 Evaluation metrics for classification
5 Deploying machine learning models
6 Decision trees and ensemble learning
7 Neural networks and deep learning
8 Serverless deep learning
9 Serving models with Kubernetes and Kubeflow

Java: Data Science Made Easy

Автор: Reese Richard M., Reese Jennifer L., Grigorev Alexey
Название: Java: Data Science Made Easy
ISBN: 1788475658 ISBN-13(EAN): 9781788475655
Издательство: Неизвестно
Рейтинг:
Цена: 104210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Terahertz Electronics

Автор: Andrey D. Grigorev
Название: Terahertz Electronics
ISBN: 1527554325 ISBN-13(EAN): 9781527554320
Издательство: Cambridge Scholars
Рейтинг:
Цена: 58280.00 T
Наличие на складе: Нет в наличии.
Описание: The book describes distinctive features of the terahertz radiation interaction with various materials, including the Earth`s atmosphere, liquids, dielectrics, superconductors, semiconductors, metals and 2D-structures.


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