Download or read book How to Sleep Well written by Neil Stanley and published by John Wiley & Sons. This book was released on 2018-07-27 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has never been more important to sleep well. Stop sabotaging your own sleep and finally wake up energised and refreshed How to Sleep Well is a guidebook that can change your sleep and help you live your life more fully. Whether you struggle to fall asleep, sleep too lightly, wake too often or simply cannot wake up, this book can help you get on track to sleeping well and living better. It all starts with the science of sleep: how much you really need, what your body does during sleep and the causes behind many common sleep problems. Next, you’ll identify the things in your life that are disrupting your sleep cycle and learn how to mitigate the impact; whether the pressure of workplace or you simply cannot quiet your own mind, these expert tips and tricks will help you get the sleep you need. Finally, you’ll learn how to support healthy sleep during the waking hours — what works with or against your sleep — and you’ll learn when the problem might be best dealt with by your GP. Don’t spend another restless night waiting for a bleary, groggy morning and sleepy day. Take control of your sleep tonight! Learn how sleep — or a lack thereof — affects every aspect of your life Identify the root causes of your sleep issues and cut them off at the source Discover the sleep advice that works, and the tips that are just plain daft. Create a healthy, calming bedtime routine that will help you get the rest you need Sleep affects everything. Work and school performance, relationships, emotional outlook, your appearance and even your health. Sleeping poorly or not sleeping enough can dramatically impact your quality of life, but most sleep problems can be solved with a bit of self-adjustment. How to Sleep Well puts a sleep expert with over 36 years’ experience at your disposal to help you finally get the restful, restorative sleep you need to live better and be productive.

Download or read book Information Theory Inference and Learning Algorithms written by David J. C. MacKay and published by Cambridge University Press. This book was released on 2003-09-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.