Böcker av Yue Zhang

Can a rabbit and wolf ever become friends? Welcome to the Best Bakery presents a touching journey of trust and understanding between the two, wrapped in the delightful aroma of freshly baked bread.

Office and Home Tai Chi includes the Limber Up Exercise and Xing Qi Tai Chi - A moving Meditation Exercise. It combines physical exercise and therapy for modern people to keep fit in the office or at home. Office and Home Tai Chi is based on ancient Chinese health care theories, including blood running laws, Qi - Vital Energy Flow, and Jing Luo, system-Meridian and Collateral Channels. Office and Home Tai Chi has presented these ideas in the U.S. since 2013 in a form adapted all to understand and practice when space and time are limited. Office and Home Tai Chi helps people work out effectively in an office or at home to improve their health and immunity as an indoor exercise daily. It may also be helpful in a public health emergency or crisis when travel is limited.It is well known that Tai Chi has excellent health benefits as an essential part of Chinese Kung Fu. However, the lengthy traditional Tai Chi routines are complicated and limited by space and time for most individuals. People must spend much time remembering movements and understanding their true meaning. So, it is less suitable for active groups of young and middle-aged people. The tedious routine and the cultural differences have become the biggest obstacles for many people to learn Tai Chi.

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.

This book introduces Python programming language and fundamental concepts in algorithms and computing.