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What are the Machine learning competitions? Introducing 6 competitions

Machine learning

I think there are many people who learned machine learning but don’t know where the competition is held? Even if you’ve heard about Kaggle, it doesn’t support Japanese, and it seems difficult.

Therefore, in this article, we will introduce competitions that support Japanese. What are the benefits of participating in the competition? We will explain in detail how to participate.

I hope this article helps you to understand the competition better.

Table of Contents

  • What is a machine learning competition?
  • 3 benefits of participating in the competition
    • You can test your skills
    • If the results are good, you can earn prizes and sell them.
    • Lead to a new job
  • Machine learning competition [in Japanese]
    • Nishika
    • Signate
  • Machine learning competition [English]
    • Kaggle
    • Driven Data
    • CrowdAnalytix
    • AIcrowd
  • Machine learning competition for beginners
  • Flow of participating in machine learning competitions
    • Find a competition you want to enter
    • Confirmation of participation conditions
    • Create submission file
    • Result announcement
  • Who doesn’t feel confident entering a machine learning competition?
    • Build your knowledge of machine learning
    • Get hands-on experience
  • In conclusion

What is a machine learning competition?

In competitions using machine learning, we often build models for data analysis. There are various formats, such as competitions with prizes from companies and local governments, and competitions limited to students.

Basically, many data analysis competitions are free to participate, and even beginners can participate if there are no participation criteria.

Even if you are new to machine learning, please join us if you are interested.

3 Benefits of participating in the competition

There are three major benefits to participating in competitions.

  1. You can test your skills
  2. If the results are good, you can earn prizes and sell them.
  3. Lead to a new job

We will explain each below.

You can test your skills

If you participate in the competition, you will know your rank when the results are announced, so you can clearly see how much skill you have acquired.

In addition to ranking in the competition, you will also receive ranks and evaluations, and as your rank increases, you will gain confidence in your skills.

If the results are good, you can earn prizes and sell them.

Sweepstakes are set up in competitions held by companies and local governments. There are competitions where you can win hundreds of thousands of yen if you win first place.

Kaggle, an overseas data science platform, is holding a competition with a total prize of 6 million yen. I think it has something to do with the fact that engineers are paid more overseas, but if you win a competition, you can get a lot of money.

Lead to a new job

Kaggle, which holds competitions, is quite famous, and some companies are hiring for people who are working on Kaggle. Of course, it is desirable to have a track record, and it is necessary to have something that can show your ability.

If you do not have practical experience, it is difficult to be hired, so you have no choice but to find a company that will hire you even if you have no experience.

Machine learning competition [in Japanese]

There are mainly two competitions that support Japanese.

  1. Nishika
  2. Signate

Each is explained below.

Nishika

This site was established in 2019.

The main contents are competitions, job information, and practice for competitions. Nishika uses relatively easy-to-handle data and is practical, so even beginners can work on it.

While there are few overseas sites that support Japanese, it is very easy to work on a site that supports Japanese.

Signate

The content includes a list of data science job information and competition information, and learning content for learning machine learning.

The competition is limited to students and has prizes, so let’s participate in the competition you want to work on. Beginner-friendly, you can acquire basic learning through learning content, so you can improve your skills.

Machine learning competition [English]

There are five main competitions held in English.

  1. Kaggle
  2. Driven Data
  3. CrowdAnalytix
  4. AIcrowd

We will explain each below.

Kaggle

Since most of the contests are held overseas, the amount of the prizes is very large, and there are even competitions with total prizes of several million yen. In the past, a Japanese company held a competition on Kaggle hosted by Mercari, and in the United States, the Department of Homeland Security held an airport security screening recognition algorithm competition.

You can see that a fairly large competition is being held at Kaggle.

Driven Data

Many of the themes of the competition are about solving social issues, such as the elderly, education, and health. Recommended for those who want to challenge big themes.

Whether you win an award or not, tackling a big theme can be very rewarding, so the value of the effort is very high.

CrowdAnalytix

CrowdAnalytix hosts competitions to build algorithms for AI, machine learning , natural language processing , and deep learning.

There are also competitions with prizes, so please try it.

AIcrowd

A global data analytics platform. About 50,000 people participate, and famous companies also host competitions.

A competition we held in the past included the development of an AI that captures the roguelike game “NetHack” sponsored by Facebook.

Machine learning competition for beginners

If you are a beginner and want to participate in the competition, we recommend Nishika and Signate .

First of all, because it supports Japanese, there is no need to work while correcting the English notation to Japanese. We recommend writing in Japanese to ensure a smooth competition.

There is also the famous Kaggle, but it seems difficult for beginners because Kggle has a very large data set and often takes too much time for beginners to handle.

Flow of participating in machine learning competitions

Entering the competition is a 4-step process.

  1. Find a competition you want to enter
  2. Confirmation of participation conditions
  3. Create submission file
  4. Result announcement

I will explain each below.

Find a competition you want to enter

First, find a competition you want to participate in. Some competitions have practice questions for beginners, so let’s apply for the actual competition after clearing them.

There are multiple ways to choose, such as by your level or a competition with a prize, but let’s participate in the one that interests you the most.

Confirmation of participation conditions

In order to participate in the competition, you must agree to the Terms of Participation.

If you violate the terms of participation, you will not be able to receive the prize or be allowed to participate, so please read the terms and agree to participate.

Create submission file

We will build an analysis model by composing code according to the theme. The given data can be downloaded and used, or written and read in code.

Be sure to read the evaluation method and submission file specification, if any. If you don’t know how to evaluate, you won’t know exactly what to do.

Result announcement

When the result comes out, you will be able to understand what rank you are and what level you are. In the future, I will be polishing my skills so that I can raise the ranking and win prizes.

Make sure there are no mistakes in the evaluation method or specified file so that you can get even a little better result.

Who doesn’t feel confident entering a machine learning competition?

People who lack self-confidence can be dealt with in two ways.

  1. Acquire knowledge of machine learning
  2. Get hands-on experience

We will explain each below.

Build your knowledge of machine learning

Learning by reading books

By reading books and learning, you can acquire knowledge systematically. Not only basic knowledge of deep learning, but also applied knowledge will not be a loss.

If you are just starting to learn about machine learning, choose a book that is at your level, such as a book that raises your level of understanding of technical terms.

Learn programming basics

Programming languages ​​such as Python are used to analyze data. If you can use the library, coding will be smoother and you will need some ability to program.

Programming can be learned using schools and web services. Depending on the site where the competition is held, there are places where learning content is also available, so if you want to acquire basic knowledge, please try to work on it.

Get hands-on experience

If there is a place where you can experience practical work even if you are inexperienced, let’s participate. If you are a student, you can gain practical experience through an internship.

In order to experience internships and practical work, you will need basic knowledge, so use books and learning content to acquire deep learning and programming skills before applying.

In conclusion

We have introduced a competition using machine learning. How was it? If you win a prize, you can get money and products of the sponsoring company.

Beginners can participate as long as they have basic knowledge, so let’s continue to participate and improve your skills.

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