Java Machine Learning Weka Intermediate
This is the second lecture for popularizing Java machine learning. We introduce Weka, which provides UI and API so that both design and coding can be implemented. We have included cases that are completely suitable for practical application in the lecture.
54 learners
Level Intermediate
Course period 24 months

News
3 articles
Thanks to the good fortune given by heaven, under the planning of Vijay Republic
After refining the lectures for six months, I am now publishing a book.
The book title is "Java Machine Learning with Weka: It Can't Get Easier Than This"
http://www.yes24.com/Product/Goods/97048613
It is currently available for pre-order and is scheduled to ship on February 2, 2021.
To celebrate the publication of my first book
Java Machine Learning Weka Intermediate and Consistent Document Writing Course
We are holding a 30% discount event for 15 days.
(January 25, 2021 - February 7, 2021, 15 days)
We wish all students a successful future.
thank you
Yeah yeah yeah yeah
Bor
The number of students enrolled in the Weka beginner course online classes that opened in October 2019 has exceeded 1,000.
To celebrate reaching 1,000 people,
We are offering a document writing course similar to the intermediate course of Weka at a 30% discount until September 13th.
Java Machine Learning Weka (Weka) Intermediate: Click to go to the lecture
How to Write a Document with a Common Context (Weekend Farm Case) : Click to go to the lecture
We ask for your continued support, and we will continue to work hard to popularize Java machine learning.
thank you
Hello. This is Java Machine Learning.
To popularize Java machine learning, an intermediate Java machine learning weka course has been opened.
25% discount until 23:59 on Friday, June 5th.
In a 6-hour lecture
1) Adoption of optimal algorithm through Titanic survival analysis,
2) Presenting the basis for decision making through feature (attribute) selection;
3) Korean survey text mining,
4) Proving the causal relationship between election results and election promises;
5) Application of artificial neural networks to image analysis;
6) Progress rate prediction by regression analysis
You can learn the back.
In addition, the Java machine learning Weka beginner course was opened 8 months later.
The number of students has exceeded 800.
Thank you for participating for an average of 100 minutes per month.
We are conducting a survey to help create an advanced course, so please respond.
http://bit.ly/javamachinelearning_survey
I learned a lot from the intermediate course that can be applied to practical work.
I hope that your future will be smooth sailing.
thank you


