New post Need visibility? Apply for a FREE post for your Startup.  Apply Here

News

Kaggle BIPOC Grant Application

1 Mins read

Kaggle is an AirBnB for Data Scientists – this is where they spend their nights and weekends. It’s a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science, machine learning and predictive analytics problems.

Kaggle enables data scientists and other developers to engage in running machine learning contests, write and share code, and to host datasets. The types of data science problems posted on Kaggle can be anything from attempting to predict cancer occurrence by examining patient records to analyzing sentiment to evoke by movie reviews and how this affects audience reaction.

Kaggle is offering a BIPOC (Black, Indigenous, People of Color) Grant aimed at empowering data scientists who have been historically underrepresented and supporting their career advancement.

What You’ll Receive as a Grantee

  • $1,000 education / career development grant
  • Assigned mentorship from an experienced data scientist
  • Membership to a dedicated community group for grantees
  • Extra Kaggle Notebook Quota and Google Cloud Platform (GCP) Credit
  • Educational guidance and resources, including community events

Eligibility and Selection Criteria

  • Individuals who self-identify as Black, Indigenous, and/or Person of Color (including Latinx, Asian, multiracial)
  • Current or aspiring data science practitioners (both in academia and industry) at any experience level (including no experience)
  • Awarded with consideration for extent of need
  • Basic foundational machine learning knowledge. This can be fulfilled by any of the following recommended coursework:
    • Kaggle Learn (Language: Python)
      • Courses: “Intro to Machine Learning” & “Python”, 8 hrs
      • Alternative: “Intro to Deep Learning”
    • Chromebook Data Science (Language: R)
      • Courses: #3 to 5, 35-70 hrs (Courses intended to be taken over the course of ~1 wk per course, 10-20 hrs per week)
      • Optional: #0 to 2
    • Machine Learning Crash Course (Language: Python, TensorFlow)
      • Courses: “ML Concepts” section, “Introduction” to “Training and Test Sets” + “Logistic Regression” + “Classification”, 5 hours
  • Participate in the program: The first class of grantees will be selected on a rolling basis through January 2021. They will be awarded their (above listed) package of resources for use over a 3-4 month basis. If successful, we will open applications for subsequent class(es) of grantees.
  • Build your portfolio: Publish your outputs & learnings
  • Give feedback: Interview with Kaggle about your user experience
  • Amplify your voice in the community: Feature your work through optional opportunities to showcase your projects (e.g. Kaggle’s YouTube or Blog channels)
  • Registration closes on 31st December 2020, click here to apply.

Don’t miss any tech news ever!

We don’t spam! Read our privacy policy for more info.

101 posts

About author
Odeajo Israel is a Software Engineer & Data Scientist. He is passionate about growing the technical communities
Articles
Related posts
News

Nigerian court orders release of Binance executive after seven months in detention

1 Mins read
Nigeria’s Federal High Court in Abuja has ordered the immediate release of Binance executive, Tigran Gambaryan, following the government’s decision to drop…
News

Meta fires workers for spending $25 meal vouchers on household items

1 Mins read
Meta, the tech giant behind Facebook, Instagram and Threads, has reportedly dismissed over 20 employees for misusing company-provided meal credits. The incident,…
News

IHS, ALTON, NCC unite to safeguard Nigeria's digital infrastructure

1 Mins read
In a bold move to protect Nigeria’s burgeoning digital economy, key players in Nigeria’s telecommunications industry have proposed a comprehensive strategy to…
Newsletter Subscription

🤞 Don’t miss any update!

We don’t spam! Read more in our privacy policy

Join our Telegram channel here - t.me/TechpadiAfrica

Leave a Reply