My Coursera experience, a beginners guide to become Machine Learning engineer.
1) Mathematics for Machine Learning - Imperial college London
2) Machine Learning - Andrew NG (stanford)
3) TensorFlow in Practice - deeplearning.ai
4) AI for Everyone (deeplearning.ai)
5) Deep Learning - Andrew NG (deeplearning.ai)
6) Applied Machine Learning in Python - Michigan University
My Coursera experienc, a beginners guide to become Data Science engineer.
1) Data Science Specialization - JHU
a) R Programming
b) Statistical Inference
c) Regression Models
d) Practical Machine Learning
2) Statistics with R - Duke University
3) Statistical learning - Hastie and Tibshirani (non-coursera)
1) Mathematics for Machine Learning - Imperial college London
2) Machine Learning - Andrew NG (stanford)
3) TensorFlow in Practice - deeplearning.ai
4) AI for Everyone (deeplearning.ai)
5) Deep Learning - Andrew NG (deeplearning.ai)
6) Applied Machine Learning in Python - Michigan University
My Coursera experienc, a beginners guide to become Data Science engineer.
1) Data Science Specialization - JHU
a) R Programming
b) Statistical Inference
c) Regression Models
d) Practical Machine Learning
2) Statistics with R - Duke University
3) Statistical learning - Hastie and Tibshirani (non-coursera)
No comments:
Post a Comment