WOW! eBook

Category: Databases & Big Data

Mastering Transformers, 2nd Edition 0

Computer Science & Computer Engineering / Databases & Big Data

Mastering Transformers, Second Edition

eBook Details: Paperback: 462 pages Publisher: WOW! eBook; 2nd edition (June 3, 2024) Language: English ISBN-10: 1837633789 ISBN-13: 978-1837633784 eBook Description: Mastering Transformers, Second Edition: The Journey from BERT to Large Language Models and Stable Diffusion. Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively. Transformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding...

Google Machine Learning and Generative AI for Solutions Architects 1

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

Google Machine Learning and Generative AI for Solutions Architects

eBook Details: Paperback: 552 pages Publisher: WOW! eBook (June 28, 2024) Language: English ISBN-10: 1803245271 ISBN-13: 978-1803245270 eBook Description: Google Machine Learning and Generative AI for Solutions Architects: ​Build efficient and scalable AI/ML solutions on Google Cloud. Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively. Nearly all companies nowadays either already use or are trying to incorporate AI/ML into their businesses. While AI/ML research is undoubtedly complex, the building and running of apps that utilize AI/ML effectively is tougher. This Google Machine Learning and Generative AI for Solutions Architects book...

Elastic Stack 8.x Cookbook 0

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

Elastic Stack 8.x Cookbook

eBook Details: Paperback: 688 pages Publisher: WOW! eBook (June 28, 2024) Language: English ISBN-10: 1837634297 ISBN-13: 978-1837634293 eBook Description: Elastic Stack 8.x Cookbook: Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights. Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments. Learn how to make the most of the Elastic Stack (ELK Stack) products-including Elasticsearch, Kibana, Elastic Agent, and Logstash-to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This Elastic Stack 8.x...

Getting Started with DuckDB 0

Computer Science & Computer Engineering / Databases & Big Data

Getting Started with DuckDB

eBook Details: Paperback: 382 pages Publisher: WOW! eBook (June 24, 2024) Language: English ISBN-10: 1803241004 ISBN-13: 978-1803241005 eBook Description: Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows. Analyze and transform data efficiently with DuckDB, a versatile, modern, in-process SQL database. DuckDB is a fast in-process analytical database. Its ease of use, versatile feature set, and powerful analytical capabilities make DuckDB a valuable addition to the data practitioner’s toolkit. Getting Started with DuckDB offers a practical overview of DuckDB’s fundamentals and guidance for effectively using its powerful capabilities. Through extensive hands-on examples, you’ll...

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data 0

Computer Science & Computer Engineering / Databases & Big Data

Deep Learning at Scale

eBook Details: Paperback: 400 pages Publisher: WOW! eBook (July 30, 2024) Language: English ISBN-10: 1098145283 ISBN-13: 978-1098145286 eBook Description: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. You’ll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training...