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My House Is Killing Me!
Whether you have allergies or asthma, or you just want to avoid exposures to indoor contaminants and allergens, this book will teach you how to have a healthier home. In this thoroughly revised edition of My House Is Killing Me! Jeffrey C. and Connie L. May draw on the dramatic personal stories of their clients to help readers understand the links between indoor environmental conditions and human health. Explaining how air conditioning, finished basements, and other home features affect indoor air quality, the authors offer a step-by-step approach to identifying, controlling, and even eliminating the sources of indoor pollutants and allergens. This new edition includes • more than 60 color...
Data Science
Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows. Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects. The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia’s DSCI100: Introduction to Data Science course.
The Art of Data Science
"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science."--Leanpub.com.
Beginning Data Science in R
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the aut...
Real Simple Spring Cleaning
In the pages of Real Simple Spring Cleaning, you'll find the best shortcuts and time-saving tools, ways to get ahead of the mess, tips for enlisting family members, and strategies that make sense for your particular time constraints. From your kitchen and your closets to your car and even your beloved pet's favorite spot, this special issue of Real Simple will have your home sparkling clean so you can enjoy all of life's other joys.
ICIDSSD 2020
The International Conference on ICT for Digital, Smart, and Sustainable Development (ICIDSSD’20) aims to provide an annual platform for the researchers, academicians, and professionals from across the world. ICIDSSD’20, held at Jamia Hamdard, New Delhi, India, is the second international conference of this series of conferences to be held annually. The conference majorly focuses on the recent developments in the areas relating to Information and Communication Technologies and contributing to Sustainable Development. ICIDSSD’20 has attracted research papers pertaining to an array of exciting research areas. The selected papers cover a wide range of topics including but not limited to Su...
The New Allergy Solution
One of America’s top allergy doctors offers a revolutionary, full-body approach to diagnosing, preventing, and treating allergies—in many cases, for good. Millions of Americans currently suffer from allergies, and the rate is growing. Climate change, globalization, air pollution, and oversanitization of the environment in the early years of life are just a few of the causes that, taken together, have introduced new allergens into our environment that are wreaking havoc and causing needless suffering. This “new allergen marketplace” requires a new allergy solution. According to Dr. Clifford W. Bassett, traditional remedies focus on treating symptoms but leave allergy sufferers vulnera...
Rhinitis, An Issue of Immunology and Allergy Clinics of North America
This issue of Immunology and Allergy Clinics of North America, guest edited by Dr. Jonathan A. Bernstein, is devoted to Rhinitis. Articles in this issue include: Rhinitis Subtypes, Endotypes, and Definitions; Allergic Rhinitis: Burden of Illness, Quality of Life and Control; Allergic Rhinitis: Mechanisms of Action; Allergic Rhinitis: Diagnosis; Allergic Rhinitis: Treatment; Non-allergic Rhinitis: Mechanism of Action; Non-allergic Rhinitis: Diagnosis; Non-allergic Rhinitis: Treatment; Localized Allergic Rhinitis; Occupational Rhinitis; Rhinitis in the Elderly; Complications of Rhinitis; Allergic Rhinitis: Environmental Determinants; Non-allergic Rhinitis: Environmental Determinants; and Novel, Alternative, and Controversial Therapies.
Machine Learning Algorithms and Concepts
This book is for machine learning professional & aspiring data scientist who wanted to be established themselves as a machine learning engineer or data science professional. Machine Learning Algorithms & Concepts gives complete idea to begin the phase of machine learning professional. This can be referred as a great starting point to switch the career path from existing profession to a machine learning professional. The book covers all major algorithms, its concept, usage, and other miscellaneous concepts based on situation which helps to its reader to decide in which situation what to be used. This book serves as guide to prepare for interviews, exams, campus work as well as for industry professional. It also covers basic programming which gives fair idea to its reader to learn how to code for machine learning problem statement even if he is a beginner in coding.
Data Science in Education Using R
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
