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Data science

Tác giả: John D. Kelleher, Brendan Tierney

Presenting to What is data science?. What is data and what is a dataset?. The data science ecosystem. Machine learning 101. Standard data science tasks. Privacy and ethics. Future trends and principles of success.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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AI assistants

Tác giả: Roberto Pieraccini

Contents: What is a virtual assistant?. AI and machine learning. Speech recognition. Natural language understanding. Natural language and speech generation. The dialog manager. Interacting with an assistant. Conclusions.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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The technological singularity

Tác giả: Murray Shanahan

Presenting to Routes to artificial intelligence. Whole brain emulation. Engineering AI. Superintelligence. AI and consciousness. The impact of AI. Heaven or hell.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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Principles of distributed database systems

Tác giả: M. Tamer Özsu, Patrick Valduriez

Contents: 1. Introduction. 2. Distributed and Parallel Database Design. 3. Distributed Data Control. 4. Distributed Query Processing. 5. Distributed Transaction Processing. 6. Data Replication. 7. Database Integration Multidatabase Systems. 8. Parallel Database Systems. 9. Peer-to-Peer Data ...

  • Phiên bản: 4th ed.
  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 0
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Distributed database management systems : a practical approach

Tác giả: Saeed Rahimi, Frank S. Haug

This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 1
  • Đang rỗi: 0