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If you are (, or know someone who is) planning to learn #DataScience / #MachineLearning / #AI by yourself, especially during this lock-down period, please know that it is totally possible... you only have 3 Jobs:
#DataTalksWithSadeeq
Thread!
#DataTalksWithSadeeq
Thread!
Short Answer:
1. Understanding the concept and usefulness of learning AI/ML;
2. Learning about the tools and best practices;
3. Getting your hands dirty with constant practice and real-world problems.
#DataTalksWithSadeeq
(Keep reading for the detailed answer, tips & links!)
1. Understanding the concept and usefulness of learning AI/ML;
2. Learning about the tools and best practices;
3. Getting your hands dirty with constant practice and real-world problems.
#DataTalksWithSadeeq
(Keep reading for the detailed answer, tips & links!)
Long Answer:
1. Understand ML from its First Principle - Intro & concepts
- https://classroom.udacity.com/courses/ud359
- https://www.coursera.org/learn/machine-learning
2. Learn some basic or more Python
- Take as much courses as you can here: https://www.datacamp.com/tracks/data-scientist-with-python
#DataTalksWithSadeeq
1. Understand ML from its First Principle - Intro & concepts
- https://classroom.udacity.com/courses/ud359
- https://www.coursera.org/learn/machine-learning
2. Learn some basic or more Python
- Take as much courses as you can here: https://www.datacamp.com/tracks/data-scientist-with-python
#DataTalksWithSadeeq
3. Dive right in: take the @Udemy Python Bootcamp Course
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
4. Join Local AI Meetups/Communities such as @DataScienceNIG or @AISaturdayLagos , and start submitting entries for @kaggle and @ZindiAfrica competitions
#DataTalksWithSadeeq
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
4. Join Local AI Meetups/Communities such as @DataScienceNIG or @AISaturdayLagos , and start submitting entries for @kaggle and @ZindiAfrica competitions
#DataTalksWithSadeeq
5. If you have the means, attend any of @InsightFellows programs.
Otherwise, any or all of @Udacity Nanodegrees will surely be a huge boost (they still have first month free):
- https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
- https://www.udacity.com/course/data-scientist-nanodegree--nd025
- https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t
#DataTalksWithSadeeq
Otherwise, any or all of @Udacity Nanodegrees will surely be a huge boost (they still have first month free):
- https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
- https://www.udacity.com/course/data-scientist-nanodegree--nd025
- https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t
#DataTalksWithSadeeq
6. You may need to learn some core Mathematics concept along the way, be open-minded
7. ML Models are hardly deployed On-prem theses days, so learn about Cloud Platforms and Serving ML models via APIs. Popular ones are @Azure @googlecloud & @awscloud. Get certified if you can!
7. ML Models are hardly deployed On-prem theses days, so learn about Cloud Platforms and Serving ML models via APIs. Popular ones are @Azure @googlecloud & @awscloud. Get certified if you can!
8. Please, I BEG YOU!
Don't JUMP to Deep Learning, if you've not fully understood basic ML or don't have a good grasp of Neural Networks.
9. Read AI/ML textbooks - Finish one, or at least make sure you are ready to completely abandon it b4 picking another.
#DataTalksWithSadeeq
Don't JUMP to Deep Learning, if you've not fully understood basic ML or don't have a good grasp of Neural Networks.
9. Read AI/ML textbooks - Finish one, or at least make sure you are ready to completely abandon it b4 picking another.
#DataTalksWithSadeeq
10. Attend AI Events.
When you feel comfortable, produce, review & publish AI/ML Research. Also, endeavor to contribute to open-source AI/ML projects.
Start teaching whatever you know in ur small circle, then big events.
#DataTalksWithSadeeq
Own it, share it!
END. Kindly RT!
When you feel comfortable, produce, review & publish AI/ML Research. Also, endeavor to contribute to open-source AI/ML projects.
Start teaching whatever you know in ur small circle, then big events.
#DataTalksWithSadeeq
Own it, share it!
END. Kindly RT!
