6th Edition OUTBRAIN DATA SCIENCE SUMMER SCHOOL

Modern Data Science

Are you a student or a young professional, eager to learn more about data science and machine learning in the industry?

Do you code and enjoy analysing data? Want to improve your practical machine learning skills? Have you done some machine learning before and would like to know how we do in in the industry on a big scale?

Join our data science summer school! In one week we will go through all stages of data science projects – from defining the problem, gathering and analysing data, to building models, experimenting and analysing results.

We will work with gigabytes of realistic advertising data and solve real problems. A great opportunity for you to jump into data science head-first, gain some practical knowledge and experience, and see how we do it in the industry!

For a week you will be a guest in our offices, where our data scientists and engineers will help you use data science in practice. For this to work, bring solid coding skills and at least basic data science and machine learning knowledge.

While Outbrain Data Science Summer School is completely FREE of charge (including lunch, coffee, snacks and all activities), we do expect your full commitment during the one week of the summer school – remember: if you apply, get accepted and don’t show up, you are taking away a seat from someone else who really wanted to attend!

Default Image

Who will benefit most from attending the Data Science Summer School?

Eager individuals who know how to write code (most of the summer school is very hands-on), have some machine learning and data science knowledge (eg. participated in a Kaggle.com challenge, experimented with some ML algorithms, took a ML course at university or online, etc), for example:

  • Final year undergraduate; masters or PhD students at Computer Science or related university programmes
  • Recent graduates from Computer Science or related university courses
  • Professionals in Computer Science or Data Analytics jobs, wanting to learn more about ML and DataSci in the industry

HOW MUCH DATA SCIENCE / ML EXPERIENCE DO YOU NEED?

You will learn a lot about ML and DataSci, especially in the context of how we do them in the industry. Having some experience and knowledge (eg. finishing some courses at university or online, or participated on a kaggle.com challenge) is preferable, you need to know at least the basics. Good rule of thumb is that if you ever fitted some models and made some predictions with them, then you probably know enough – summer school is set up in a way that DataSci/ML novices will learn the basics and do some hands-on experimentation with guidance, while experts will be able to really utilize their knowledge and do some additional magic on really cool data!

Apply Now

HOW MUCH PROGRAMMING KNOWLEDGE / EXPERIENCE DO YOU NEED?

Summer school is very hands-on, so knowing how to write code is crucial. We will teach you some TensorFlow with Python, but other than that, the choice of favourite language is up to you! Good rule of thumb is if you did any studies at a computer science university programme or work as a software engineer, then you’re good!

Default Image

Estimated plan

Apply Now
  1. #1

    COFFEE & GETTING TO KNOW EACH OTHER

  2. #2

    INTRO TO SUMMER SCHOOL

  3. #3

    TALK

    ONLINE ADVERTISING TECHNOLOGY – WHAT HAPPENS BEHIND THE SCENES

  4. #4

    LUNCH

  5. #5

    TALK

    MACHINE LEARNING IN PRODUCTION AT SCALE

  6. #6

    TALK & WORKSHOP

    DATA SCIENCE WORKFLOW & TOOLS + DEV ENVIRONMENT SETUP

  7. #7

    PIZZA, BEER & GAMES

  1. #1

    Coffee & Chat

  2. #2

    TALK & WORKSHOP

    MACHINE LEARNING WITH TENSORFLOW

  3. #3

    Lunch

  4. #4

    TALK & WORKSHOP

    MACHINE LEARNING WITH TENSORFLOW – CONTINUED

  5. #5

    WORKSHOP

    FIRST HANDS-ON DATA SCIENCE CHALLENGE

  6. #6

    SECRET GUEST TALK

  7. #7

    MINI GOLF IN TIVOLI

  1. #1

    Coffee & Chat

  2. #2

    TALK

    AUTOML

  3. #3

    TALK

    MULTI-TASK PREDICTION ON REALISTIC ADVERTISING DATA

  4. #4

    DATA SCIENCE GUILD LEARNING FORUM EXTERNAL TALK

  5. #5

    LUNCH

  6. #6

    GRAND CHALLENGE INTRO & BRAINSTORMING

  7. #7

    GRAND CHALLENGE HANDS-ON

  8. #8

    SNACKS & REFRESHMENTS

  1. #1

    Coffee & Chat

  2. #2

    GRAND CHALLENGE HANDS-ON CONTINUED

  3. #3

    LUNCH

  4. #4

    ZEMANTA INVITED GUEST TECH TALK

  5. #5

    GRAND CHALLENGE HANDS-ON CONTINUED

  6. #6

    ESCAPE ROOM

  1. #1

    Coffee & Chat

  2. #2

    GRAND CHALLENGE HANDS-ON & PRESENTATION PREP

  3. #3

    TALK

    MULTI-ARM BANDITS & A/B TESTING

  4. #4

    Lunch

  5. #5

    LIGHTNING TALKS

  6. #6

    GRAND CHALLENGE SHOWCASE & KNOWLEDGE SHARING

  7. #7

    GRADUATION CEREMONY

Why learn from us?

At Outbrain, we’re building the leading recommendation platform for the Open Web

HERE’S WHAT OUR WORLD-CLASS DATA SCIENCE TEAM IS WORKING WITH

  • over 1 billion machine learning predictions calculated – every second
  • ML models we ship to production have an immediate effect on the business
  • we don’t keep cutting-edge ML and deep learning algorithms in the drawer – we deploy them to production
  • petabytes of data generated daily, stored on own data centers, S3 and BigQuery
  • multi-cloud environment – AWS, GCS, private cloud
  • Go-lang is our main production language, python for offline research
  • Highly optimized production ML algos developed in-house in TensorFlow
  • in-house distributed AutoML framework for effective offline research
  • powerful research server cluster
  • full ownership of the ML-powered features we develop – from idea to final product
  • a lot of learning – both internally (knowledge sharing initiatives) and externally (going to the best conferences, reading papers, watching talks)
  • sharing knowledge externally (talk at conferences and meet-ups, mentor students at DataScience@UL-FRI, Data Science Summer School, …)
  • a part of a world-class data science and software engineering organization distributed across the globe

Zemanta joined Outbrain, the largest native advertising company in the world, and together we are on a mission of enabling everyone to discover great content.

Apply Now!

You might be also interested in:

Apply Here
  • Data Science Internship

    This is a paid internship lasting 12 weeks, starting in late June or early July. Ideal candidates will be in the final year of their program and will already have a solid knowledge of basic coding and CS principles.

  • Fullstack Summer School

    Outbrain is organizing a full stack summer school where you will learn all areas of backend and frontend development and build a robust system from scratch.

  • Software Engineering Internship

    We’re looking for talented students pursuing a degree in Computer Science or related fields, who are passionate about supercharging their software engineering skills.