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Khoa Công Nghệ Thông Tin

Duyệt theo:
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Deep learning

Tác giả: John D. Kelleher

Presenting to Introduction to deep learning. Conceptual foundations. Neural networks: the building blocks of deep learning. A brief history of deep learning. Convolutional and recurrent networks. Learning functions. The future of deep learning.

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

Tác giả: Jeffrey Pomerantz

Contents: Introduction. Definitions. Descriptive metadata. Administrative metadata. Use metadata. Enabling technologies for metadata. The Semantic Web. The future of metadata.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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The internet of things

Tác giả: Samuel Greengard

Presenting to The internet changes everything. Mobility, clouds, and digital tools usher in a connected world. The industrial internet emerges. Computer devices get smart. Putting the internet of things to work. The reality and repercussions of a connected world. A networked future emerges.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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Computing : a concise history

Tác giả: Paul E. Ceruzzi

Contents: The digital age. The first computers, 1935-1945. The stored program principle. The chip and Silicon Valley. The microprocessor. The Internet and the World Wide Web. Conclusion.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 3
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Computational thinking

Tác giả: Peter J. Denning, Matti Tedre

Presenting to What is computational thinking?. Computational methods. Computing machines. Computer science. Software engineering. Designing for humans. Computational science. Teaching computational thinking for all. Future computation. Epilogue: Lessons learned.

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