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From China to Australia, from international student to global knowledge worker, from restaurant to Google, from C++ programmer to book author, from Burning Man to Antarctica, this book revealed those untold stories while living outside comfort zone.
This book is a compilation of the 230 best student essays submitted in English composition classes at the Teachers College of Qingdao University in Qingdao, Shandong, P. R. China, during the spring semester of 2000. The stories were submitted to fulfill assignments given by American instructor, Mark F. Harris, for his students to write about their grandparents, parents, family life and some of their own childhood and school experiences as well as to contemplate the future. In doing research for the essays, a few of the students had the good fortune to interview their grandparents, while many more were able to question their parents. They wrote about times of hardship, sacrifice and deprivati...
Today Gospel has been twisted in a broad field. Faith in Jesus Christ must be built up on the full revelation of God. However, most evangelists do not equip well before ministering. They lack the structure of faith of the Scriptures. The consequence is that both shepherds and sheep are not walking on the way of truth. Actually, they are falling away. Because of lacking of the foundation of faith based on the full words of God, it is not surprised that even popular evangelists deny that Jesus Christ is the only way of salvation. Let’s tremble before the Word of God and seek Him. John 1:1 “In the beginning was the Word, and the Word was with God, and the Word was God.” Isaiah 66:5 “Hear the word of the LORD, ye that tremble at his word; Your brethren that hated you, that cast you out for my name’s sake, said, Let the LORD be glorified: but he shall appear to your joy and they shall be ashamed.”
Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs -- their intricate architecture, underlying algorithms, and ethical considerations -- require thorough exploration, creating a need for a comprehensive book on this subject. This book provides an authoritative exploration...
"There is absolutely nothing remotely like this book in the history of late imperial women. [An] immensely important book."--Gail Hershatter, author of Women in China's Long Twentieth Century "A masterful work."--Lynn Hunt, coeditor of Beyond the Cultural Turn
This fully updated volume describes methods and protocols for a number of drugs and toxins in a stepwise manner. Exploring the versatility and flexibility of mass spectrometry, the book covers the advantages of this technology, which typically include elimination of the need for special reagents such as antibodies, increased sensitivity and specificity, and multi-component analysis enabling the screening of tens to hundreds of compounds in a single assay run. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, as well as tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Clinical Applications of Mass Spectrometry in Drug Analysis: Methods and Protocols, Second Edition serves as a valuable resource for laboratory professionals who are already utilizing mass spectrometry or considering bringing this technology to their labs.
Strengthening affirmative action programs and fighting discrimination present challenges to America's best private and public universities. US college enrollments swelled from 2.6 million students in 1955 to 17.5 million by 2005. Ivy League universities, specifically Harvard, Yale, and Princeton, face significant challenges in maintaining their professed goal to educate a reasonable number of students from all ethnic, racial, religious, and socio-economic groups while maintaining the loyalty of their alumni. College admissions officers in these elite universities have the daunting task of selecting a balanced student body. Added to their challenges, the economic recession of 2008-2009 negati...
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objec...
Unlock the power of AI with Python: Your Journey from Novice to Neural Nets KEY FEATURES ● Learn to code in Python and use Google Colab's hardware accelerators (GPU and TPU) to train and deploy AI models efficiently. ● Develop Convolutional Neural Networks (CNNs) using the TensorFlow 2 library for computer vision tasks. ● Develop sequence, attention-based, and Transformer models using the TensorFlow 2 library for Natural Language Processing (NLP) tasks. DESCRIPTION “Pythonic AI” is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world. Besides teaching how to build AI mod...
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based lin...