AI Resources

resources.txt

http://www.deeplearningbook.org/
http://aiforanyone.com/

https://www.linkedin.com/pulse/beginners-guide-data-science-pipeline-shivam-panchal/

Google Resources for ML 
https://ai.google/education#?modal_active=none

Spark Learning Resources: 
https://github.com/awesome-spark/awesome-spark

DS Road MAP
http://nirvacana.com/thoughts/2013/07/08/becoming-a-data-scientist/
https://medium.com/@thisismetis/roadmap-how-to-learn-machine-learning-in-6-months-7c501889b545

https://www.analyticsvidhya.com/blog/2018/01/ultimate-learning-path-becoming-data-scientist-2018/
https://medium.freecodecamp.org/how-to-become-a-data-scientist-2d829fa33aba
https://hackernoon.com/minimalistic-learning-path-to-become-a-data-scientist-c0a4f614bd09
https://www.lynda.com/learning-paths/IT/become-a-data-scientist


AI Maths 
https://youtu.be/ZK3O402wf1c?list=PLE7DDD91010BC51F8
https://youtu.be/X9t-u87df3o?list=PLBE9407EA64E2C318
https://www.edx.org/course/optimization-methods-business-analytics-mitx-15-053x
https://www.youtube.com/playlist?list=PLUl4u3cNGP60A3XMwZ5sep719_nh95qOe
https://www.edx.org/course/foundations-data-analysis-part-1-utaustinx-ut-7-11x-0?source=aw&awc=6798_1522786917_65502221368287aab137d1fa644e6bf7
           PROB
https://www.edx.org/course/foundations-data-analysis-part-2-utaustinx-ut-7-21x-0?source=aw&awc=6798_1522786929_4920361b49385af45b5baa6df8e43dd6&utm_source=aw&utm_medium=affiliate_partner&utm_content=text-link&utm_term=301045_https://www.class-central.com/


GOOGLE AI RESOURCES
https://ai.google/education#?modal_active=none


ZAID LINK
https://www.coursera.org/specializations/deep-learning
http://www.deeplearning.ai
https://www.coursera.org/specializations/machine-learning


ML CRASH COURSE
https://developers.google.com/machine-learning/crash-course/framing/ml-terminology


HOW TO BECOME ML ENGINEER
https://medium.com/machine-learning-world/learning-path-for-machine-learning-engineer-a7d5dc9de4a4