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What is a machine learning study group [2022]?

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Machine learning has come to be used in various fields, but the current situation is that there are few people who study machine learning and can actually use it.

Wondering who to learn machine learning from and how to learn it?

There is a “machine learning study group” where you can learn machine learning efficiently, which was born to solve such problems.

In this article, we will introduce the merits, how to choose, and noteworthy study sessions about machine learning study sessions.

Table of contents

  • What is a machine learning study group?
  • Advantages of machine learning study sessions
    • Intensive learning in a short period of time
    • meet people with similar goals
    • Learn the themes you want to learn
  • How to choose a machine learning study group
    • Match what you want to learn
    • Decide on the venue
    • Decide by price
    • Decided by the teacher
  • List of machine learning study sessions to watch in 2022
    • AI engineer training program 
    • NTT DATA M1-1 team “Comprehensive development that connects customer contact points”
    • AI that leads to actual utilization and results
  • Summary

What is a machine learning study group?

A machine learning study group is a seminar where you can learn machine learning in a lecture format.

Machine learning enables a wide range of fields such as image recognition , speech recognition , natural language processing , and prediction, so learning machine learning requires a lot of learning.

For this reason, this machine learning study group has created an environment that makes it easy to learn in each field.

Advantages of machine learning study sessions

The advantages of machine learning workshops are:

  1. Intensive learning in a short period of time
  2. Meet people with similar goals
  3. Learn the themes you want to learn

Intensive learning in a short period of time

One of the benefits is that you can concentrate on learning in a short period of time.

Most machine learning study sessions are held for a few hours a day, so they are short-term programs. You may think that you can’t learn properly, but you can learn from machine learning professionals, so you can deepen your learning efficiently in a short period of time.

Meet people with similar goals

The second advantage is that you can meet people with the same purpose.

At machine learning study sessions, there are many people who want to learn machine learning or want to work in a job that uses machine learning, so you can deepen exchanges with people who have the same sense of purpose.

Therefore, even if the content of the seminar and the content you want to know are different, you will be able to help each other with the people you met at the study group.

Learn the themes you want to learn

The third merit is that you can learn the theme you want to learn.

Since the themes to be learned are clearly set by the study group, you can learn only what you want to learn at the study group. In addition, since the study sessions are short-term, it is possible to study efficiently by setting the order by day or week while looking at the theme. You can see at a glance what topics you will learn in advance, so you don’t have to worry about accidentally learning the same content.

How to choose a machine learning study group

How to choose a machine learning study group is the following 4 points.

  1. Match what you want to learn
  2. Determined by venue
  3. Decide by price
  4. Determined by instructor

I will explain below.

Match what you want to learn

The first way to choose is to match the content you want to learn.

As mentioned in the merits, the study session clearly presents the theme to be learned, so it is recommended that you choose according to the content you want to learn.

By matching the content you want to learn, you can learn efficiently and prevent learning the same content by mistake. Also, since machine learning is a wide field, it is a good idea to match the content you want to learn according to the job you want to do in the future and the qualification you want to acquire.

Decide on the venue

The second way to choose is to decide on the venue.

The current events are often held online, but some study sessions are held in various regions. Therefore, you should choose a location that is convenient for you.

Also, if there are two or more study sessions to attend and the periods are close, you may not be able to attend unless you pay particular attention to the venue.

Decide by price

The third way to choose is to decide on the price.

There are free and paid study sessions, so decide according to your budget.

Even among the paid ones, there are some that are small to expensive, so why not make a decision by overlapping with other selection methods?

Also, be aware that even if the event is free, there will be a separate transportation fee if you actually go to the venue.

Decided by the teacher

The fourth way to choose is to decide by the instructor.

In the study group, various companies and people who are active in the current era will be lecturers.

Therefore, it is a good idea to search for people you respect or are interested in and select a study group.

Some of the instructors are unknown, so one way is to choose a reliable and famous company or person.

List of machine learning study sessions to watch in 2022

  1. AI engineer training program
  2. NTT DATA M1-1 team “Comprehensive development that connects customer contact points”
  3. AI that leads to actual utilization and results

AI engineer training program 

[AI engineer training program Aiming to acquire JDLA “E qualification”! Machine Learning & Deep Learning ] is a study session where you can take a set of zero to one ” machine learning “, ” deep learning ” and “E qualification package”, which are certified programs by the Japan Deep Learning Association, completely online and free of charge.

With special packages such as follow-up courses on mathematics and programming and local support, we aim to develop human resources who can acquire JDLA “E qualification” and use AI afterwards.

It is attracting attention because it can solidify the foundation of AI engineers in a total of 70 to 120 hours.

NTT DATA M1-1 team “Comprehensive development that connects customer contact points”

[New customer experiences in the mobility industry one after another – NTT DATA’s approach to “complete development that connects customer contact points” that brings together technical resources – Team M1-1 to realize difficult problems by making full use of various technologies What is] is a study group where three people in charge of mobility experience development at NTT DATA Corporation’s Manufacturing IT Innovation Business Headquarters will be on stage.

It is attractive to listen to the stories of people who are actually active in companies for free, and you can study project management from customer experience design to back-end development.

AI that leads to actual utilization and results

[What is AI that leads to actual utilization and results from just making something? -The latest case of the NEC team that is steadily achieving results behind the AI ​​boom-] will take the podium and talk about NEC’s latest case studies that are steadily producing results behind the AI ​​boom.

This is a study session for data scientists and data engineers who seek actual utilization and results. It’s also free and easy to take online.

Summary

Although machine learning has come to be used in many situations, there are still few people who can utilize machine learning, and there are labor shortages in various fields. Therefore, those who want to get a job that uses machine learning in the future, or who are interested in machine learning at the moment, should come to their own benefit by attending study sessions. Learn at your own pace.

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