Some directions to choose when you have covered basics of Machine Learning:
- deep learning (cs231n)
- theory of ML
- more practice, Kaggle
- first job in Data Science
- pet project
Some words on the fall 2018 session of mlcourse.ai
4. What next?
1. New session -
Feb 2019
More competitions!
2. #class_cs231n – from 24.12.18, Slack
«Convolutional Neural Networks for Visual Recognition»
Andrej Karpathy Fei-Fei Li Stanford
5. 3. Dive into theory of ML
-> #edu_books
-> #article_essence
4. More practice
-> #kaggle_crackers
-> #mlcourse_ai
«Pattern Recognition & Machine Learning»
(C. Bishop)
«Deep Learning» (I. Goodfellow et.al.)
5. First job in DS –> #career
What next?
6. What next?
6. Pet project
https://digits-draw-recognize.herokuapp.com/
7. What next?
7. Support mlcourse.ai
https://www.patreon.com/ods_mlcourse
https://ko-fi.com/mlcourse_ai
(monthly)
(one-time)
Tell your story and spread a word! Kaggle Forum
8. See you in #class_cs231n!
Thanks to mlcourse.ai team!