Several valuable courses and books related to the technologies of Aritificial Interllegent (AI) are provided on internet. The field becomes popular in current, espcailly Mechine learning (ML) and Neural Network (NN), even the advance techniques of NN, so called Deeplearning are the hot keywords. Here I list the worth-reading metirials which are availible online. They are not just about AI, but the basic knowledges of computing sceince. The collections were gethered here since June of 2017, when I was during military service for a year.
The following ☑️ and ✔️ mean the course/book has been through completely at least onece and been refered to workbook projects/courses, respectively.
| Coures | Source | Progress | Note |
|---|---|---|---|
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Coursera: Artificial Intelligence, Tian-Li Yu, NTU | ☑️ | Certificate |
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Youtube: Machine Learning Foundations/Techniques, Hsuan-Tien Lin | ☑️ | |
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Youtube: Deeplearning and Machine Learning, Hung-yi Lee, NTU | ☑️ | NTU link |
| Book | Source | Progress | Note |
|---|---|---|---|
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Machine Learning in Python, Sebastian Raschka | ☑️ | Workbooks project 1 |
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Neural Network And Deeplearning, Michael Nielsen. | ☑️ | Workbooks project 2 |
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Pattern Recognition and Machine Learning, Christopher M. Bishop | ✔️ | The reference of Workbooks project 1 |
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Learning from Data, Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin. | ✔️ | The reference of online course |
| Coures | Source | Progress | Note |
|---|---|---|---|
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Youtube: 演算法 (Algorithm), Iris H-R Jiang, NCTU | ☑️ | NCTU link |
| Book | Source | Progress | Note |
|---|---|---|---|
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細談資料結構 (Data structure), 謝樹明 | ☑️ | |
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Algorithms in a nutshell, Gary Pollice, Stanley Selkow, George Heineman | ✔️ | The reference of online course |