Lilu wants to help her family get ready for the big party celebrating Diwali. When Lilu's father can't find the traditional Diwali oil lamps, Lilu finally knows how she can help. She uses her clay to make colorful new lamps for the celebration.

By analyzing concrete examples of the creation of a heritage in the context of migration, this multi-sited ethnography considers the implications of representations of religions and diaspora for Sindhi Hindus and other similar communities.

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.

Sports betting generates hundreds of millions in bets on the Superbowl alone, to say nothing of pro and college football, prizefights, baseball, basketball, and hockey. In this book, players learn the techniques of beating the bookie at all these sports.

Duck hunters love spending time in the great outdoors. They have played a key role in wildlife and habitat preservation for decades. This great book introduces the new generation to duck hunting. Subjects covered include duck calls, duck stamps, decoys, camouflage, shotguns, boats, and blinds. The role of hunting dogs is explained and tips on hunting with a dog are offered, too.

" ... An astute, irreverent, insider's view of the 'sport of kings': the personalities, scandals, oddities, social hierarchies (of horses, dogs and humans), the Melbourne Cup phenomenon, betting advice to newcomers - and, of course, clever systems for picking winners ..."--Back cover.