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Network Embedding
Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction. This book provides a compreh...
DevOps with Kubernetes
Leverage the power of Kubernetes to build an efficient software delivery pipeline. Key FeaturesLearn about DevOps, containers, and Kubernetes all within one handy bookA practical guide to container management and orchestrationLearn how to monitor, log, and troubleshoot your Kubernetes applicationsBook Description Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll le...
Representation Learning for Natural Language Processing
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...
China
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Devops with Kubernetes
Learn to implement DevOps using Docker & Kubernetes.About This Book* Learning DevOps, container, and Kubernetes within one book.* Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.* A practical guide towards container management and orchestrationWho This Book Is ForThis book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book.What You Will Learn* Le...
Bringing the Nation's Husband Home 3 Anthology
Qiao Anhao and Lu Jinnian had secretly longed for each other for thirteen years, and now that there's a possibility for them to be together, even though the circumstances may be unconventional, neither one can refuse their inner desires any longer. Hurled into a false marriage, Qiao Anhao treads carefully towards the cold and reclusive Lu Jinnian, but after years of near-missed opportunities and deep misunderstandings, how could their last shot at love possibly run smooth? **"Nation Husband" is a Korean term awarded to a man who is perfect in the eyes of the public - an ideal husband.
