This is a comprehensive video tutorial on machine learning, statistical learning, big data algorithms, deep learning, Python scientific computing, TensorFlow tutorials, convolutional Neural networks, text mining, NLP, and more. Since there are many videos, I hope you can find the tutorials you need. You are welcome to share with more friends, colleagues and classmates, and you can also share in moments, at the top of…. Later will also launch each series of learning articles and video tutorials. To obtain the complete version of the information in the public number back number “25”, you can view the way to obtain, remember to quickly obtain save oh!
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1. Getting Started with Python (3.98g)
2. Machine Learning Techniques (National Taiwan University – Lin Xuen-tian) (1.2g)
3. Fundamentals of Machine Learning (1.1g)
4. Deep Learning (8.79g)
5. Machine Learning at Stanford University (1.76g)
6. Lone Star Project – Machine Learning (4.24g)
7. Hadoop-spark Enterprise Application (Recommended version)
8. Spss1-48, Applied Statistical Analysis, Xi ‘an Jiaotong University
9. Python scientific computation
Neural Network for Machine Learning
11. Python Tutorial (Ma Yongliang, Ma Ge)
Deep Learning (MSR- Deng Li)- Tianjin University
Machine Learning Research – Chinese Academy of Sciences -8 days course
14. Machine Learning courses — Lone Star Project
15. Machine Learning – Andrew Ng with English Subtitles
Big Data Algorithm _ Harbin Institute of Technology (Wang Hongzhi)
17. Learn Python with zero basics – Turtle
Practical computer skills for scientific research
19. Introduction to Computer Science Programming -MIT
20. Introduction to Algorithms -MIT(English subtitles)
21. Convolutional Neural Networks — Fei Fei Li
22. Very large data sets (360.25g)
23. TensorFlow Tutorial (8.35g)
24. Google Ai TensorFlow Course (479.5m)
25. Latest detailed Machine Learning Materials (95.4g)
26. Stanford NLP Tutorial (1.8g)
1. Getting Started with Python (3.98g)
2. Machine Learning Techniques (National Taiwan University – Lin Xuen-tian) (1.2g)
3. Fundamentals of Machine Learning (1.1g)
4. Deep Learning (8.79g)
5. Machine Learning at Stanford University (1.76g)
6. Lone Star Project – Machine Learning (4.24g)
7. Hadoop-spark Enterprise Application (Recommended version)
8. Spss1-48, Applied Statistical Analysis, Xi ‘an Jiaotong University
9.Python scientific computation
Neural Network for Machine Learning
11. The python tutorial
Deep Learning (MSR- Deng Li)- Tianjin University
Deep Learning (MSR- Deng Li)- Tianjin University
14. Machine Learning courses — Lone Star Project
15.Machine Learning – Andrew Ng with English Subtitles
Big Data Algorithm _ Harbin Institute of Technology (Wang Hongzhi)
17. Learn Python with zero basics – Turtle
Practical computer skills for scientific research
19. Introduction to Computer Science Programming -MIT
20. Introduction to Algorithms -MIT(English subtitles)
21. Convolutional Neural Networks — Fei Fei Li
22. Very large data sets (360.25g)
23. TensorFlow Tutorial (8.35g)
24. Google Ai TensorFlow Course (479.5m)
25. Latest detailed Machine Learning Materials (95.4g)
26. Stanford NLP Tutorial (1.8g)
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