Posted by Hee Jung, DevRel Neighborhood Supervisor
We’re completely satisfied to announce ML Olympiad, an related Kaggle Neighborhood Competitions hosted by Machine Studying Google Developer Specialists (ML GDE) and TensorFlow Consumer Group (TFUG).
Kaggle just lately introduced “Neighborhood Competitions” permitting anybody to create and host a contest for gratis. And our proud members of ML communities determined to dive in and reap the benefits of the characteristic to resolve crucial problems with our time, offering alternatives to coach builders.
Why the ML Olympiad?
To coach ML for builders leveraging Kaggle’s group competitors. This is a chance for the members to follow ML. That is the primary 2022 world marketing campaign of the ML Ecosystem group and this helps construct stronger communities.
ML Olympiad Neighborhood Competitions
Presently, 16 ML Olympiad group competitions are open, hosted by ML GDEs and TFUGs.
Arabic_Poems (in native language) hyperlink
- Predict the identify of a poet for Arabic poems. Encourage individuals to follow on Arabic NLP utilizing TF.
- Hosts: Ruqiya Bin Safi (ML GDE), Eyad Sibai, Hussain Alfayez / Saudi TFUG & Utilized ML/AI group
Sky Survey hyperlink
- Stellar classification with the digital sky survey
- Hosts: Jieun Yoo, Michael Mellinger / NYTFUG
Análisis epidemiológico Guatemala (in native language) hyperlink
- Make an evaluation and prediction of epidemiological instances in Guatemala and the relations.
- Hosts: Alvin Estrada, Julio Monterroso / TensorFlow Consumer Group Guatemala
QUALITY EDUCATION (in native language) hyperlink
- Competitors might be centered on the Enem (Nationwide Excessive Faculty Examination) information. Opponents must create fashions to foretell scholar scores in a number of assessments.
- Hosts: Vinicius Fernandes Caridá (ML GDE), Pedro Gengo, Alex Fernandes Mansano / Tensorflow Consumer Group São Paulo
Panorama Picture Classification hyperlink
- Classification of partially masked pure photos of mountains, buildings, seas, and many others.
- Hosts: Aditya Kane, Yogesh Kulkarni (ML GDE), Shashank Sane / TFUG Pune
Autism Prediction Problem hyperlink
- Classifying whether or not people have Autism or not.
- Hosts: Usha Rengaraju, Vijayabharathi Karuppasamy, Samuel T / TFUG Mysuru and TFUG Chennai
Tamkeen Fund Granted hyperlink
- Predict the corporate funds primarily based on the corporate’s options
- Hosts: Mohammed buallay (ML GDE), Sayed Ali Alkamel (ML GDE)
Hausa Sentiment Evaluation (in native language) hyperlink
- Classify the sentiment of sentences of Hausa Language
- Hosts: Nuruddeen Sambo, Dattijo Murtala Makama / TFUG Bauchi
TSA Classification (in native language) hyperlink
- We invite members to develop a classification technique to determine early autistic problems.
- Hosts: Yannick Serge Obam (ML GDE), Arnold Junior Mve Mve
Let’s Struggle lung most cancers (in native language) hyperlink
- Recognizing elements which might be hyperlink to lung most cancers detection
- Hosts: abderrahman jaize, Sara EL-ATEIF / TFUG Casablanca
Genome Sequences classification (in native language) hyperlink
- Genome sequence classification primarily based on NCBI’s GenBank database
- Hosts: Taha Bouhsine, Mentioned ElHachmey, Lahcen Ousayd / TensorFlow Consumer Group Agadir
GOOD HEALTH AND WELL BEING hyperlink
- Utilizing ML to foretell coronary heart illness – If a affected person has coronary heart illness or not
- Hosts: Ibrahim Olagoke, Ahmad Olanrewaju, Ernest Owojori / TensorFlow Consumer Group Ibadan
Preserving North African Tradition hyperlink
- We’re tackling cultural preservation via a machine studying mannequin able to figuring out the origin of a given merchandise (meals, clothes, constructing).
- Hosts: elyes manai (ML GDE), Rania Boughanmi, Kayoum Djedidi / IEEE ESSTHS + GDSC ENIT
Supply Project Prediction hyperlink
- The goal of this competitors is to construct a multi-class classification mannequin able to precisely predicting probably the most appropriate driver for one or a number of given orders primarily based on the vacation spot of the order and the paths coated by the deliverers.
- Host: Thierno Ibrahima DIOP (ML GDE)
Used automobile worth hyperlink
- Predicting the value of an imported used automobile.
- Hosts: Armel Yara, Kimana Misago, Jordan Erifried / TFUG Abidjan
TensorFlow Malaysia Consumer Group hyperlink
- Utilizing AI/ML to resolve Enterprise Information drawback
- Hosts: Poo Kuan Hoong (ML GDE), Yu Yong Poh, Lau Sian Lun / TensorFlow & Deep Studying Malaysia Consumer Group
Navigating ML Olympiad
You possibly can search “ML Olympiad” on Kaggle Neighborhood Competitions web page to see all of them. And for additional data, search for #MLOlympiad on social media.
Google Builders assist ML Olympiad by offering swag for high 3 winners of every competitors. Discover your curiosity among the many competitions, be a part of/share them, and get your a part of the swag for competitors winners!