Hands-on Question Answering Systems with BERT

Applications in Neural Networks and Natural Language Processing

Häftad, Engelska, 2021

454 kr

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Beskrivning

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT.

Produktinformation

Utgivningsdatum:2021-01-13
Mått:155 x 235 x 12 mm
Vikt:312 g
Format:Häftad
Språk:Engelska
Antal sidor:184
Förlag:APress
ISBN:9781484266632

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Tillämpad datateknik inom Data och IT

Mer om författaren

Navin is the chief architect for HCL DryICE Autonomics. He is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation, AIOPS, public cloud GCP, AWS, and Microsoft Azure. Navin has authored 15+ books in the areas of cloud computing , cognitive virtual agents, IBM Watson, GCP, containers, and microservices. Amit Agrawal is a senior data scientist and researcher delivering solutions in the fields of AI and machine learning. He is responsible for designing end-to-end solutions and architecture for enterprise products. He has also authored and reviewed books in the area of cognitive virtual assistants.

Innehållsförteckning

Chapter 1: Introduction to Natural Language Processing.- Chapter 2: Introduction to Word Embeddings.- Chapter 3: BERT Algorithms Explained.- Chapter 4: BERT Model Applications - Question Answering System.- Chapter 5: BERT Model Applications - Other tasks.- Chapter 6: Future of BERT models.