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 How is your bed? The importance of sleep and the science of bedding The mattress should be light but warm, using breathable materials such as cotton. Sleep is a basic need of human life, which directly affects physical, mental and emotional health. Using a moderately firm mattress and appropriate pillows for good sleep improves sleep quality and reduces health problems. Sleep is a basic need of human life, which directly affects physical, mental and emotional health. It is not just a means of relieving fatigue, but an important aspect of overall health. Scientific studies have proven that adequate sleep improves memory, weight control, increased immunity, blood pressure balance and mental performance. Many things play a role in good sleep. The most important and often overlooked aspect of these is the bed. The role of the bed is extremely important for good sleep, as it is the main means of comfort and support. Naturopath Dr. Pratiksha Pandey says that the bed is an important fou...

Introduction to data science specialization Data science is a rapidly growing field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from data. An introduction to data science specialization is a great way to learn the fundamentals of data science and begin a career in this exciting field. Here are six key points to consider when looking for an introduction to data science specialization:

Data science: Master machine learning without coding Data science is a field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from data. While coding is a valuable skill for a data scientist to have, it is not necessary to master machine learning without it. Here are six key points to consider when learning machine learning without coding:

IBM data science professional  IBM data science professional is a role within the field of data science that involves utilizing the tools and techniques of data science to solve complex business problems and drive decision making within an organization. The role typically involves working with large and complex datasets to uncover insights and trends, and using statistical and machine learning methods to develop predictive models and algorithms.