Deepa D

The first in-depth study of the Indian creative industries, this book provides a comprehensive mapping of the Indian creative industries and its policy landscape, developing and defining key concepts and terms and offering detailed case studies of specific sectors, geographic regions and governance structures. Using an ecosystem framework, this book focuses on strategy/policy; tangible and intangible infrastructure; and funding and investment to understand the main drivers and barriers across nine sub-sector value chains. With investment from global brands into many sectors, it tracks how Indian creative industries are fostering innovation and design for social and ecological sustainability. It also delves into India’s informal economy to share key policy insights. The volume will be of great interest to scholars and researchers of public policy, business studies and South Asian studies. It will also be a key document for foreign investors willing to invest in one of the fastest-growing and stable economies in the world.

The first in-depth study of the Indian creative industries, this book provides a comprehensive mapping of the Indian creative industries and its policy landscape, developing and defining key concepts and terms and offering detailed case studies of specific sectors, geographic regions and governance structures. Using an ecosystem framework, this book focuses on strategy/policy; tangible and intangible infrastructure; and funding and investment to understand the main drivers and barriers across nine sub-sector value chains. With investment from global brands into many sectors, it tracks how Indian creative industries are fostering innovation and design for social and ecological sustainability. It also delves into India’s informal economy to share key policy insights. The volume will be of great interest to scholars and researchers of public policy, business studies and South Asian studies. It will also be a key document for foreign investors willing to invest in one of the fastest-growing and stable economies in the world.

AI and ML is an integral part of many commercial applications and research projects today, in areas ranging from medical diagnosis and treatment to finding your friends on social networks. Many people think that machine learning can only be applied by large companies with extensive research teams. In this book, we want to show you how easy it can be to build machine learning solutions yourself, and how to best go about it. With the knowledge in this book, you can build your own system for finding out how people feel on Twitter, or making predictions about global warming. The applications of machine learning are endless and, with the amount of data available today, mostly limited by your imagination.

The topic of this book is data science, which is a field of study and application that has been growing rapidly for the past several decades. As a growing field, it is gaining a lot of attention in both the media as well as in the job market. This move was modeled after tech companies who, honestly, only recently started hiring massive data teams. These skills are in high demand and their applications extend much further than today's job market. This book will attempt to bridge the gap between math/programming/domain expertises. Most people today have expertise in at least one of these (maybe two), but proper data science requires a little bit of all three. We will dive into topics from all three areas and solve complex problems. We will clean, explore, and analyze data in order to derive scientific and accurate conclusions. Machine learning and deep learning techniques will be applied to solve complex data tasks.