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
Java Machine Learning Weka Intermediate Course Opening Announcement and Thank You for Surpassing 800 Beginner Students
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