Khoa Công Nghệ Thông Tin
Information theory, inference, and learning algorithms
1. Data. 2. Noisy-channel coding. 3. Further topics introduction theory. Probabilities and inference. 5. Neural networks. 6. Sparse graph codes. 7. Appendices.
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- Tổng sách: 5
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Introduction to computing systems : from bits and gates to C and beyond : 2nd ed. (New)
1. Welcome aboard; 2. Bits, data types and operations; 3. Digiatal logic strutures; 4.The von N eumann model; 5. The LC-3; 6. Programming; 7. Assembly language; 8. I/O; 9. TRAP routines and subroutines; ...
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- Tổng sách: 5
- Đang rỗi: 5
Microsoft Office 2016 at work for dummies
Including 17 chapters: Getting toknow office; Creating a word document; Paragraph formatting; Formatting sections, pages, and documents; Working with Tables and graphics in word; References and mail merges in word; Creating basic excel worksheets; Creating excel formulas and functions; Formatting ...
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- Tổng sách: 2
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Project 1. Becoming a programmer; Project 2. Gathering the parts to build your robot's body; Project 4. Giving your robot style; Project 5. Animating your robot; Project 6. Creating a JavaScript word game.
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- Tổng sách: 1
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Win the game of Google-opoly : unlocking the secret strategy of search engines
1. Either you are visible or you are invisible; 2. Reality check : Google is a monopoly; 3. Creating a Googleopoly : Google page one dominance strategy; 4. Creating the ultimate onsite SEO website strategy; 5. Video and video SEO; 6. Social media versus social media optimization; 7. Strategies for ...
- Vị trí lưu trữ: 03 Quang Trung
- Tổng sách: 1
- Đang rỗi: 1