Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Massachusetts Institute of Technology via YouTube Video playlist
MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012
Overview
Instructors: Prof. Hari Balakrishnan, Prof. George Verghese
This collection includes twenty-four lectures that cover the three units of the course: bits, signals, and packets. Topics include source coding, channel coding, noise, filtering, modulation, delays, networks, and transport protocols.
View the complete course: http://ocw.mit.edu/6-02F12
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Videos in this playlist 24
- 1. Overview: information and entropy
- 2. Compression: Huffman and LZW
- 3. Errors, channel codes
- 4. Linear block codes, parity relations
- 5. Error correction, syndrome decoding
- 6. Convolutional codes
- 7. Viterbi decoding
- 8. Noise
- 9. Transmitting on a physical channel
- 10. Linear time-invariant (LTI) systems
- 11. LTI channel and intersymbol interference
- 12. Filters and composition
- 13. Frequency response of LTI systems
- 14. Spectral representation of signals
- 15. Modulation/demodulation
- 16. More on modulation/demodulation
- 17. Packet switching
- 18. MAC protocols
- 19. Network routing (without failures)
- 20. Network routing (with failures)
- 21. Reliable transport
- 22. Sliding window analysis, Little's law
- 23. A brief history of the Internet
- 24. History of the Internet cont'd, course summary
Advantages and disadvantages
Advantages
- Free and complete: every lecture is in the playlist, in order.
- Watch at 1.5x, skip what you know, rewatch what you don't.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (24 videos) you can see before you start.
- Start watching right away, no sign-up.
Disadvantages
- No certificate, deadlines or graded work.
- Quality and depth vary: check that the playlist is finished before you start.
- No certificate.
- No graded assignments or feedback.
Some points apply to every course of this kind; see how we rank.
Free
- Free: Watch on YouTube, no account needed.
- Certificate: None. Code or take notes along to make it stick.
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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