@henry_shyboy@PraiseChik64773 We indeed had some delays, our host company had delays in selecting the winners, which was outside of our control.
We kept everyone updated via email and made the final winner announcement in early December. If you took part, check your emails please.
Ever wanted to dive deeper into the patterns, behaviors and language used on social media?
Starting September 18th, we're hosting a hackathon that will give you an opportunity to build out your portfolio with real-life datasets. Our partner, Playhouse, is on the hunt for a cutting-edge AI solution.
π― The challenge?
Categorize and analyze data from their clients' past social media posts. This isn't just about identifying objects; itβs about harnessing the power of data analytics and the creativity of participants to unearth novel, actionable insights.
During the hackathon, you will have the opportunity to:
β Pull valuable insights from social media data (Facebook, Twitter, Instagram, Linkedin)
β Use visualization to understand the distribution and trends in the data
β Leverage statistical methods or machine learning (if applicable) to understand underlying patterns or to predict future trends.
β Compile reports by organizing your findings, insights, and recommendations in a structured way
π° Prize
There is a prize pool of $4,500 + a job interview for the winners.
π Early Bird Special
β’ For the first 10 to enroll, we will review their portfolio and give tips.
β’ For the first 25 to enroll, you will be entered into a draw for 1-1 mentor calls with our founders.
So donβt hesitate, enroll now and be in for a chance to win.
So donβt hesitate, enroll now and be in for a chance to win. Enroll now: https://t.co/MYSIoVPzOP
@DiceyTech just launched a new Hackathon for Nigerians.
Prize:
1st - $2500
2nd - $1500
3rd - $500
+ Job interview
Join here: https://t.co/HUHIdjqebY
RT and Open Thread for requirements.
Is the future of #AI data-centric? π¦Ύ
The past years have been model-centric, with an emphasis on designing, fine-tuning & improving algorithms for various tasks (text mining, image recognition, etc.).
π€ Data-centric #AI seeks to shift this. It could significantly change the daily tasks of many data scientists in the near future.
Check out the newsletter to learn more:
https://t.co/9k3xIk47mB
π 80 participants from around the world have already taken the #datachallenge - will you? π
Join the Grade Predictor Hackathon now and put your #data skills to the test π€
Ends 3rd September! π Enter for a chance to win up to Β£1000 in prizes and a 3-week paid internship with Target Tuition π―πΌ
https://t.co/mxXroX2fqg
π What if every student's unique needs were considered during #exams? π€
Exciting news! Target Tuition is our partner for the Grade Predictor #Hackathon π€ Join us in this inspiring mission to support young students throughout their exam journey and equip them with the best tools to succeed on the big day π
Enter here and be a part of the change: https://t.co/mxXroX2fqg
π Master Feature Engineering π As a #DataScientist, youβll put this into practice & further develop it in the Grade Predictor Hackathon! π
π Your task: Predict responses from young students in a text-based assessment using data from previous exams and related factors.
π‘ Enhance your #FeatureEngineering expertise! Extract crucial features like students' age, skills, question topics, difficulty levels, and text complexity.
Get ready for an exciting #Hackathon, where you'll create new features that boost #MachineLearning models' accuracy! π§π€
Sign up here: https://t.co/mxXroX2NfO
Meet Olaoluwa! π Now it's YOUR turn to shine! π«
Join the Grade Predictor #Hackathon for a chance to win up to Β£1000 in prizes and a 3-week paid internship with Target Tuition π
Put your skills into practice and build your data science portfolio. Don't miss it - enter now: https://t.co/mxXroX2fqg
Hello Guys,
@DiceyTech has a hackathon going on "Predicting Student Responses".
The aim is to see how you can accurately predict which answers the students will choose.
π Want a career in #datascience but feeling overwhelmed by the amount of info out there?
Don't worry, we've got you covered! π
Check out our comprehensive overview of essential skills and practical steps to land your dream role in data science.
π‘ In partnership with Edoardo at The Data Newsletter, to bring you this valuable guide:
https://t.co/MWy5e4PSIb
π Don't miss the Grade Predictor Hackathon! πΈ Besides the chance to win fantastic prizes (which is pretty awesome, no doubt!), there's so much more in store for you.
Develop your skills in #data cleaning, #dataanalysis, #machinelearning, #nlp, feature engineering and of course, time management.
π Enter here: https://t.co/mxXroX2fqg
You have until 3rd September! π
π Exciting news! Our brand new Grade Predictor #Hackathon is now LIVE! π Check it out: https://t.co/mxXroX2fqg.
π― Ever wondered if you could predict exam results? Now's your chance! Join us in partnership with Target Tuition to build a #ML model that does just that.
π« Armed with a vast dataset of 11.4k data points from 8-11 year old students, including mock exams, worksheets, student profiles, and question types, you'll develop your data skills and create an impressive centerpiece for your portfolio.
πΈ Amazing rewards await:
> Stand a chance to win up to Β£1000 in prizes
> Secure an exclusive 3-weeks paid internship with Target Tuition
π Don't miss this awesome opportunity to showcase your data skills and earn exciting prizes! Join now: https://t.co/mxXroX2fqg
Is this the #engineering job of the decade?
The #AIEngineer role underlines a significant shift from pure research to practical application in #AI: transforming the breakthroughs into tangible, real-world solutions.
More on https://t.co/1YeSqOjVEm.
π Tired of overwhelming data analysis? π€―
In this week's Sofiane's Snippets: Learn about dimensionality reduction π the unsung hero that simplifies complex #datasets, boosting #ML performance and data visualization.
Plus, we discuss: is Meta's #LLaMA2 truly open source? π€
π Check it out: https://t.co/6n2jdCI4TJ
Practice #prompt based dev in 2 steps:
1οΈβ£ In apps with low-risk consequences, where skipping test sets won't cause harm e.g. recommendation systems.
2οΈβ£ Experiment with text or visual prompts for apps where it's safe to deploy without a test set.
π https://t.co/1YeSqOjVEm
This is your daily reminder that as a #datascientist, you don't have to know everything.
Listen to the full #podcast episode with David Sully, CEO at Advai: https://t.co/pKxRY5JkDO.
The definition of perseverance, embracing risks and uncovering deep-seasted passions? @RashaSalimTech.
Head of Top Talent at @OmdenaAI and our guest on the newest The Emerging Podcast episode π
Listen below to learn more about Rasha's position to help build othersβ careers in #AI through transformative impact projects.
https://t.co/5Nk6skYRcE