Globally Distributed ML Competitions by Google ML Neighborhood

Posted by Hee Jung, DevRel Neighborhood Supervisor

The ML Olympiad is an related Kaggle Neighborhood Competitions hosted by ML GDE, TFUG, Third-party ML communities, supported by Google Builders. The ML Developer Applications crew and the communities efficiently ran the primary spherical of the marketing campaign in 2022 and at the moment are launching the second spherical. The purpose of this marketing campaign is to offer ML coaching alternatives for builders by leveraging Kaggle’s options.

ML Olympiad Neighborhood Competitions

17 ML Olympiad group competitions are at present open. Go to the ML Olympiad web page to take part.

Into the Area

• Predicting which spaceship passengers have been transported by the anomaly utilizing data recovered from the spaceship’s broken pc system.
• Host: MD Shahriyar Al Mustakim Mitul / TFUG Dhaka

Water High quality Prediction

• Estimating the standard of water.
• Host: Usha Rengaraju

Breast Most cancers Prognosis

• Predicting medical analysis [breast cancer].
• Host: Ankit Kumar Verma / TFUG Prayagraj

E-book Suggestions

• To supply personalised suggestions to customers based mostly on their studying historical past and preferences utilizing numerous machine studying algorithms.
• Hosts: Anushka Raj, Yugandhar Surya / TFUG Hajipur

Argania Tree Deforestation Detection

• Use Sentinel-2 satellite tv for pc imagery to detect and map areas of deforestation within the Argania area.
• Hosts: Taha Bouhsine / TFUG Agadir

Multilingual Spell Correction

• Reconstruct noisy sentences in European languages: English, French, German, Bulgarian and Turkish.
• Host: Radostin Cholakov (ML GDE)

CO2 Emissions Forecasting

• Forecasting CO2 emissions based mostly on deforestation in Côte d’Ivoire.
• Host: Armel Yara / TFUG Abidjan

Guarantee Wholesome Lives (in native language) 

• Use ML strategies to assist obtain widespread good well being and well-being.
• Host: Vinicius Fernandes Caridá (ML GDE) / TFUG São Paulo

Predictive Upkeep

• Predict future engine’s failures.
• Host: Daniel Pereda / TFUG Santiago

Firetrucks Are Crimson And Vehicles Are Blue

• To create a mannequin that may precisely predict the right class for every picture, with out overfitting.
• Host: Prasoon Kottarathil / TFUG Thrissur

Dialect Recognition (in Arabic) 

• Dialect recognition as a way to enhance consumer expertise in AI functions.
• Hosts: Ruqiya Bin Safi (ML GDE) / Saudi TFUG & Utilized ML/AI group

Sentiment Evaluation Of JUMIA Tunisia  (in native language) 

• Use JUMIA buyer evaluations to find out the sentiment of content material from textual content knowledge.
• Host: Boulbaba BEN AMMAR / TFUG Sfax

Kolkata Housing Prediction

• Kolkata housing prediction outcomes can be utilized to handle associated social and financial points.
• Host: Rishiraj Acharya / TFUG Kolkata

Can You Guess The Beer Model?

• It is a machine studying competitors centered on classifying beer into 17 distinct kinds based mostly on key descriptors.
• Host: Marvik

Detect ChatGpt solutions

• The purpose of this competitors is to categorise ChatGpt solutions vs actual human solutions for a wide range of questions.
• Host: Elyes Manai (ML GDE) / IEEE ESSTHS + GDSC ISETSO + PyData Tunisia

MLAct Pose Detection

• Elevating consciousness about some primary yoga poses, and inspiring our group members to observe the fundamental elements of pc imaginative and prescient.
• Host: Imen Masmoudi / MLAct ML Neighborhood

Hausa Sentiment Evaluation 2.0 (in native language) 

• Classify the sentiment of sentences of Hausa Language.
• Hosts: Nuruddeen Sambo / TFUG Bauchi

Navigating ML Olympiad

You may 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 helps the hosts of every competitors. Flick thru the out there competitions and take part in those who curiosity you!