The Post Java Machine Learning Weka Intermediate for 7 hours

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Price: 69000$

1. Why (purpose)  The goal is to quickly establish a decision cooperative system with data.:   Introduce Weka, which can both design and program Java machine learning.2. What (Lectures)  Here’s a real machine learning application with weka alone   : we’ve adapted a variety of application cases into familiar content.   Then shall we briefly introduce the contents?2.1 Adopting an Optimal Algorithm by the Experimenter : Adopting an Optimal Model through a P-value Statistical Test (where did you hear that?)2.2 Making decisions with the feature selection: creating decision information with a specific (attribute) selection. R program linkage is a bonus.2.3 Survey Text Mining :  No more wrestling with the difficult Hangul Formosa! A simple Korean survey can be done with basic functions.2.4 Correlation and Classification of U. S. House Elections in 84 :  The Obama camp did not anticipate election pledges, but chose statistical analysis of its website to raise campaign funds: What’s really important is to know which pledges are directly linked to election?2.5 Image Analysis by Artificial Neural Network and Image Filter : Tired of waiting for a beta version of dl4j: Introducing Weka’s built-in Artificial Neural Network and wekadeepleasing4j.2.6 Estimate when a course is completed through regression analysis : Used to determine how long a lecture should be postponed.3. Method The above process is explained in three order as follows.3.1 Theoretical Description : Background knowledge is brief. It’s really simple, it’s all about the point.3.2 Knowledge Flow Design : Weka’s Best Advantage – Machine learning is possible without programming.3.3 Java programming : Another advantage of weka, weka provides everything for design and coding.4. IF (effectiveness)  You can apply loaded data analysis to traditional IT systems that consist of Java platforms : Would you like to know how to take a post way in traditional IT so that you can analyze it well on ICBMs?You get a way to understand the real world with your data : to understand the unseen reality with your data.5. Beginner’s reflection point → Supplementary intermediate course  It’s an intermediate course that has improved more than a beginner’s class for the base change of Java machine learning.:   Through feedback and self-reflection from the students on the beginner’s course, we have improved more than the beginner’s course.6. Lecture environment  Use weka 3.9.3 for Windows OS   (3.9.4 has a bug when importing ANSI type files).7. Lecture materials : You can download it by clicking the cloud icon in the second class in section 1      (installing Weka software and downloading course materials). (55 MB)8. Continuation of Extra lecture  I  will continue to upload lecture from the students’ good questions and useful information from other media.  I look forward to strengthening communication with my students and improving their satisfaction with lectures.  Exclude hard, requirements, or personal questions.9. Caution ※ You can see Korean in the video or lecture materials. ※ But you don’t have to worry that you don’t understand Korean. ※ The Korean language you see in the lecture can be considered to only non-utf-8 data.