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MACHINE LEARNING
OPEN SOURCE
X
MACHINE LEARNING
Machine learning is a form of AI that enables a system to
learn from data rather than through absolute
programming. However, machine learning is not a
simple process. Machine learning uses a variety of
algorithms that iteratively learn from data to improve,
describe data, and predict outcomes
What does “open source” mean?
When a project is open source, that means
anybody can view, use, modify, and
distribute your project for any purpose.
To understand how it works, imagine your friend is having a potluck, and you bring a cherry pie.
Everybody tries the pie (use)
The pie is a hit! They ask you for the recipe, which you provide (view)
One friend, Alex, who’s a pastry chef, suggests reducing the sugar (modify)
Another friend, Lisa, asks to use it for a dinner next week (distribute)
Mix the
Sauce
● Open Source Machine Learning Projects
● Ways to contribute
● Why should i contribute
Open Source ML tools
Open Source ML Projects
https://github.com/collections/machine-learning
● Gain Programming Experience
● Build a Practical Resume
Collaboration with the Experts of the game
● Greater Job Prospects
● Promote Open Source Culture
● Growth potentially
● Make Money
Why Should i Contribute
1. Firstly get to know GitHub and Git
2. Writing Doc(Technical Articles)
3. Writing code to improve the software
4. Mentoring
5. Helping people with challenges(Stackoverflow,
Twitter etc)
How to Contribute:
After sending a
PR
Thank you
Datacamp Instructor |
Lead Instructor, School
of Data at Gitgirl
Co- Organiser Pydata
Port Harcourt |
Phschoolofai / Drunk in
Open Source,
IbmChampion 2019
@emekaboris
#OSCAPH
#opensource
#OSCA

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Machine learning and open source

  • 2. MACHINE LEARNING Machine learning is a form of AI that enables a system to learn from data rather than through absolute programming. However, machine learning is not a simple process. Machine learning uses a variety of algorithms that iteratively learn from data to improve, describe data, and predict outcomes
  • 3. What does “open source” mean? When a project is open source, that means anybody can view, use, modify, and distribute your project for any purpose.
  • 4. To understand how it works, imagine your friend is having a potluck, and you bring a cherry pie. Everybody tries the pie (use) The pie is a hit! They ask you for the recipe, which you provide (view) One friend, Alex, who’s a pastry chef, suggests reducing the sugar (modify) Another friend, Lisa, asks to use it for a dinner next week (distribute)
  • 6. ● Open Source Machine Learning Projects ● Ways to contribute ● Why should i contribute
  • 8. Open Source ML Projects https://github.com/collections/machine-learning
  • 9. ● Gain Programming Experience ● Build a Practical Resume Collaboration with the Experts of the game ● Greater Job Prospects ● Promote Open Source Culture ● Growth potentially ● Make Money Why Should i Contribute
  • 10.
  • 11. 1. Firstly get to know GitHub and Git 2. Writing Doc(Technical Articles) 3. Writing code to improve the software 4. Mentoring 5. Helping people with challenges(Stackoverflow, Twitter etc) How to Contribute:
  • 13. Thank you Datacamp Instructor | Lead Instructor, School of Data at Gitgirl Co- Organiser Pydata Port Harcourt | Phschoolofai / Drunk in Open Source, IbmChampion 2019 @emekaboris