Java Machine Learning Weka Beginner
There is no need to ignore or fear machine learning. Machine learning is easy, but let's think about where to apply machine learning. The direction of machine learning expansion in Java is expected to be similar to the current Python, R strength, and future coexistence of Python, R, and Java, like iOs. The purpose of this lecture is to build a DIKW collaboration system between domain experts and IT professionals.
2,009 learners
Level Basic
Course period 12 months
News
4 articles
The release of the Java Machine Learning Weka intermediate online course, which was announced two months ago, has been postponed by one month.
(May 1, 2020 ▶ Mid June)
To stabilize the project I am currently involved in
I had a very busy schedule during the month of April.
Video production and teaching materials production are being delayed.
We will release the course to you as soon as possible.
thank you
Additionally, we would like to ask you to respond to the survey below for future lectures.
On May 1, 2020, we will release an intermediate online course on Java Machine Learning Weka.
We are re-creating it to reflect on and improve the beginner course.
I look forward to meeting you all soon.
( Additional upload completed for the last lecture of the machine learning weka beginner course)
Additionally, we would like to ask you to respond to the survey below for future lectures.
We are conducting an online survey for Java Machine Learning Intermediate/Advanced/Usage lectures, so please participate actively. (No deadline)
Java Machine Learning Survey (5-item Google Survey - No email addresses collected)
http://bit.ly/javamachinelearning_survey
Your participation will be a great help in expanding Java machine learning.
As of November 2, 2019, after the introduction of the course on October 8, 2019 (the day before Hangeul Day),
Thank you to over 100 people who have signed up for this course even though it hasn't even been a month yet.
I have two changes and one request.
Change 1: Lecture materials (pdf, jar, java, knowledgeFlow) files have also been uploaded to gitHub.
https://github.com/javaramachinelearning/WekaForKorean_BASE
Change 2: All lectures' YouTube links have been cut off and converted to uploaded videos.
Existing lectures were linked to YouTube, but it has been discovered that some companies have policies that prohibit YouTube during working hours.
I have one request.
Please make sure to click “Watched” after each class. This will make it easier to check the progress of other students.
thank you
