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: statistics for beginners ISBN: 1801256497 ISBN-13(EAN): 9781801256490 Издательство: Неизвестно Рейтинг: Цена: 18390.00 T Наличие на складе: Нет в наличии. Описание:
This is a book that explains all statistical concepts in layman terms.
We will discuss concepts like ratio, average, the proportion to very basic concepts like median, mode, and mean. We will then start discussing scatter plot and box plots along with concepts like variance analysis and a chi-square test that are important to understand statistics better. We will also discuss various statistical teaching methods along with a lot of examples and equations. Statistics is a tough topic so we explain them in simple words which can make us understand the things better. We also discuss charts that visualizing statistics with a lot of examples like pie chart, histogram, line chart, etc.
First of all, we will start with a basic introduction to statistics and all the topics we are going to cover
The first chapter deals with all basic concepts. We will discuss something that deals with everything in statistics
The next chapters deal with the visualization concepts of statistics. We will discuss histograms, line graphs, and a lot of other topics.
We will discuss analysis concepts like median, mode, and all other stuff that will help us understand advanced concepts.
The next chapter deals with testing procedures which is a basic concept in statistics for testing purposes.
The next chapter deals with variance analysis and chi-square test in detail.
The last chapter deals with a lot of statistical concepts that coincide with data science like Linear regression and other topics.
So why are you waiting? Let us dive into the topic.
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
