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ML Olympiad 2024: Globally Distributed ML Competitions by Google ML Neighborhood



Posted by Bitnoori Keum – DevRel Neighborhood Supervisor

The ML Olympiad consists of Kaggle Neighborhood Competitions organized by ML GDE, TFUG, and different ML communities, aiming to supply builders with alternatives to be taught and apply machine studying. Following profitable rounds in 2022 and 2023, the third spherical has now launched with help from Google for Builders for every competitors host. During the last two rounds, 605 groups participated in 32 competitions, producing 105 discussions and 170 notebooks. We encourage you to affix this spherical to realize hands-on expertise with machine studying and sort out real-world challenges.

ML Olympiad Neighborhood Competitions

Over 20 ML Olympiad neighborhood competitions are at present open. Go to the ML Olympiad web page to take part.

Smoking Detection in Sufferers

Predict smoking standing with bio-signal ML fashions

Host: Rishiraj Acharya (AI/ML GDE) / TFUG Kolkata

TurtleVision Problem

Develop a classification mannequin to tell apart between jellyfish and plastic air pollution in ocean imagery

Host: Anas Lahdhiri / MLAct

Detect hallucinations in LLMs

Detect which solutions supplied by a Mistral 7B instruct mannequin are most probably hallucinations

Host: Luca Massaron (AI/ML GDE)

ZeroWasteEats

Discover ML options to cut back meals wastage

Host: Anushka Raj / TFUG Hajipur

Predicting Wellness

Predict the share of physique fats in males utilizing a number of regression strategies

Host: Ankit Kumar Verma / TFUG Prayagraj

Offbeats Version

Construct a regression mannequin to foretell the age of the crab

Host: Ayush Morbar / Offbeats Byte Labs

Nashik Climate

Predict the situation of climate in Nashik, India

Host: TFUG Nashik

Predicting Earthquake Injury

Predict the extent of injury to buildings attributable to earthquake based mostly on points of constructing location and building

Host: Usha Rengaraju

Forecasting Bangladesh’s Climate

Predict the wet day; quantity of rainfall, and common temperature for a selected day.

Host: TFUG Bangladesh (Dhaka)

CO2 Emissions Prediction Problem

Predict CO2 emissions per capita for 2030 utilizing international improvement indicators

Host: Md Shahriar Azad Evan, Shuvro Pal / TFUG North Bengal

AI & ML Malaysia

Predict mortgage approval standing

Host: Kuan Hoong (AI/ML GDE) / Synthetic Intelligence & Machine Studying Malaysia Person Group

Sustainable City Residing

Predict the habitability rating of properties

Host: Ashwin Raj / BeyondML

Poisonous Language (PTBR) Detection

(in native language)

Classify Brazilian Portuguese tweets in one of many two courses: toxics or non toxics.

Host: Mikaeri Ohana, Pedro Gengo, Vinicius F. Caridá (AI/ML GDE)

Bettering catastrophe response

Predict the humanitarian support contributions as a response to disasters happens on the planet

Host: Yara Armel Want / TFUG Abidjan

City Site visitors Density

Develop predictive fashions to estimate the visitors density in city areas

Host: Kartikey Rawat / TFUG Durg

Know Your Buyer Opinion

Classify every buyer opinion into a number of Likert scale

Host: TFUG Surabaya

Forecasting India’s Climate

Predict the temperature of the actual month

Host: Mohammed Moinuddin / TFUG Hyderabad

Classification Champ

Develop classification fashions to foretell tumor malignancy

Host: TFUG Bhopal

AI-Powered Job Description Generator

Construct a system that employs Generative AI and a chatbot interface to routinely generate job descriptions

Host: Akaash Tripathi / TFUG Ghaziabad

Machine Translation French-Wolof

Develop sturdy algorithms or fashions able to precisely translating French sentences into Wolof.

Host: GalsenAI

Water Mapping utilizing Satellite tv for pc Imagery

Water mapping utilizing satellite tv for pc imagery and deep studying for dam drought detection

Host: Taha Bouhsine / ML Nomads

Navigating ML Olympiad

To see all of the neighborhood competitions across the ML Olympiad, search “ML Olympiad” on Kaggle and search for additional associated posts on social media utilizing #MLOlympiad. Flick thru the accessible competitions and take part in those who curiosity you!



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