FREE Courses for PhD Students.
Links to the courses are given below.
1. Data Science: Machine Learning
Link: https://t.co/OA7Pycyw7L
2. Data Science: Probability
Link: https://t.co/aLjMuNIYJc
3. Data Science: Linear Regression
Link: https://t.co/gr3m6eslyr
4. Data Science: R Basics
Link: https://t.co/2yCQq0Ch4b
5. Data Science: Visualization
Link: https://t.co/JWzVGaClap
6. Introduction to Data Science with Python
Link: https://t.co/LoaYbeOnzQ
7. Data Science: Capstone
Link: https://t.co/rqirGvPCUp
8. R Programming Fundamentals
Link: https://t.co/6h2D55eZxx
9. Statistical Learning with R
Link: https://t.co/RHICZFWXxN
10. Statistical Learning with Python
Link: https://t.co/DF5mv25QHt
11. Mining Massive Data Sets
Link: https://t.co/y5QgbXQ1Lg
12. Databases: Relational Databases and SQL
Link: https://t.co/9vFEYeNRNe
13. Databases: Semi-Structured Data
Link: https://t.co/YuXSFSaxY4.
14. Databases: Advanced Topics in SQL
Link: https://t.co/xuFps2mifl
15. Introduction to Artificial Intelligence
Link: https://t.co/1HcopE3z7H
16. Artificial Intelligence
Link: https://t.co/jRzdMAWgnt
17. Introduction to Algorithms
Link: https://t.co/W8xvJB9scE
18. Introduction to Computational Thinking and Data Science
Link: https://t.co/9pnYmdv8cC
19. Introduction to Machine Learning
Link: https://t.co/dQD5xGGvrH
20. Understanding the World through Data
Link: https://t.co/iL37Ylnee8
21. Machine Vision
Link: https://t.co/bnS9FmwKQ1
For more resources for PhD students, please check my YouTube.
YouTube link:
https://t.co/iaGymDM8iL
Along the way they also mention: flawed audio transcripts, 50 Shades of Greg, drunkenly shoving a matrix, drug mules, isomorphic interdigitation, plywood and tennis balls, talking to volleyballs, bawitdaba da bang a dang diggy diggy, not going to prom, and vector bouquets.
New paper by @ashlgreene et al. on pitfalls of factor models regarding misspecification, replicability, interpretability, overextraction, factor collapse, and other issues.
https://t.co/f1ACwt7GKG
Doing a doctoral dissertation? A 9-chapter guide to help you conduct effective research, write about your work, become a successful scholar & enjoy your PhD experience https://t.co/sxAUARqHtz #phdchat#phdadvice#phdforum#phdlife#ecrchat#acwri