Globally Distributed ML Competitions by the Neighborhood

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!