This important interdisciplinary book is a unique and timely contribution to the field of women in the arts. Each chapter is devoted to a single artist and a single ground-breaking work that altered the course of its art form in a full array of genres, including dance, music, installation, photography, architecture, poetry, literature, theater, film, performance art, and popular culture. These discussions are preceded by a comprehensive introduction to art by women over the past century that sets the artists who follow in a context that insightfully illuminates their struggles, their achievements, and their places in history at a critical moment in the contemporary world.
In this second edition, the authors have made a significant update with six new chapters, new photos, and a revised introduction. The new chapters take as their subjects the contributions of Yoko Ono, Crystal Pite, Caroline Shaw, Beyonc?, Kara Walker, and Diane Paulus. Each of the new chapters represents an artist or a category of art that has grown in prominence or engaged a significant redefinition in the contemporary world that was not addressed in the original edition of the book. Updating this material re-establishes the book’s priority and relevance, especially in its expansion of representation of artists of color and artists in popular culture, and reinforces its appeal not only as a popular read, but as a classroom textbook or resource at the university level.
Автор: Oliver Deborah Название: Python for data analysis ISBN: 1801256519 ISBN-13(EAN): 9781801256513 Издательство: Неизвестно Рейтинг: Цена: 18390.00 T Наличие на складе: Нет в наличии. Описание:
This audiobook offers a smart introduction to data analysis using Python and is one of the best books available in the market. It covers basic and advanced data analysis concepts in detail using several Python libraries that are well-known for their data analytical features. The book explains everything in detail and, sometimes, enhances the listeners' knowledge by touching on some advanced topics that need strict adherence and sincerity to master.
In this audiobook, we start with an introduction to data analysis using the catering system as an example. We always strive to give Python code for the concepts discussed because it gives a practical understanding of the topic.
Below are some the most important topics we have discussed in this book, in no particular order:
Data analysis with a universal catering system that helps us understand different data mining models available
Introduction to Python, Numpy, and Pandas and their installation
Numpy and advanced array functions it offers
Pandas and functions it offers
Basic and advanced data analysis skills
Plotting features in data analysis
Time series functions in data analysis
E-commerce example to understand the real-world application of data analysis
So, what are you waiting for? Go on a drive to conquer data analysis skills by using this book.
Автор: Oliver Deborah Название: Introduction to machine learning ISBN: 1801256500 ISBN-13(EAN): 9781801256506 Издательство: Неизвестно Рейтинг: Цена: 18390.00 T Наличие на складе: Нет в наличии. Описание:
This book gives a layman explanation for machine learning using Python. We will explain a lot of basic machine learning topics using python code. There are a lot of examples that we can use to master the skill of Data science. This book will help you understand the basic algorithms that machine learning deals with. There are a lot of concepts that can be used to acquire advanced skills in data science and its subsequent subfields. In the first chapter, we will discuss very basics and introduce Python environment for the users. There are certain basic principles that can be learned using the book. We will then discuss data processing techniques which are very important for a good machine learning model. We will introduce pandas, numpy models to the reader along with their use cases. We will also try to expand our knowledge using machine learning algorithms that are described in the book. In the next sections, we will learn about machine learning models. The last two chapters will give a practical point of view to what we have discussed. Below, we explain the most important concepts we discussed in this book in no particular order.
Introduction to machine learning and python environment
Introduction to numpy, Pythons, and other machine learning python modules
Introduction to data processing techniques in detail
Introduction to data visualization in detail. We will learn about histogram and pie in detail
We will learn about a lot of machine learning algorithms like Regression analysis, Decision trees, Support vector machine, and others in detail
We will also discuss other algorithms in brief
We will learn about ensemble modeling in detailed in the chapters inside
We will give a few use cases to it
We will also discuss hyperparameter turning in detail
We will next learn about machine learning project structure, pipelines, and other advanced topics in the last chapter
So why are you still waiting? Go buy it
Автор: Deborah Kelly, Kelly Название: Thing about oliver ISBN: 1925563812 ISBN-13(EAN): 9781925563818 Издательство: Неизвестно Рейтинг: Цена: 12740.00 T Наличие на складе: Нет в наличии. Описание: Sometimes I feel just like the glass in my fish tank- people look right through me. Twelve-year-old Tilly dreams of becoming a marine scientist, but she doesn`t even own a swimsuit. She lives in a drought- stricken town with her mum and younger brother Oliver, who is autistic.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
