2021 Customized AI Education for Military 🤖

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 In November, I participated in 2021 Customized AI Education for Military. I’m writing this post to record what I’ve learned during this month.

🏃‍♂️ Beginning

 In October, after learning lots of things by participating in OSAM Hackathon, I was having a break creating my own blog, and writing review post for the hackathon. In the meantime, I happened to see the poster of 2021 Customized AI Education for Military.
 Since OSAM Hackathon was such a good experience for me, it was very nice to see that there was another educational content provided to soldiers for free. Also, I liked the fact that I could study AI, a field I had a strong interest in. So I decided to participate in the education on the day I saw the poster.

👶 Customized Education

 2021 Customized AI Education for Military was providing customized education by offering beginner, intermediate, advanced course. Since I was still unfamiliar with python and had little background knowledge about AI, I was assigned to beginner course after taking the test.

📚 Studying Using Github

 To review what I’ve learned from lectures, I started writing summary and uploading it to github. I created a repository named AI_study_mil, and uploaded my summaries on it.

 Since it was the first time for me writing Markdown document, uploading summaries on github was kind of big challenge for me. After trying many different ways, I found out that I could write pretty neat summaries using Jupyter Notebook by writing down theoretical contents and codes together. I liked the fact that I could organize summaries by chapter, and that the time I studied each chapter was recorded in a committed time.

🔥 From Beginner Course To Advanced Course

 As I checked my progress during the education, it looked like i would be able to take every lectures in beginner, intermediate, and advanced courses before the education ends. Since it is not common to take such good lectures for free, I focused on military artificial intelligence education for a month with the goal of taking all lectures. From November 1st, I participated in education almost every day, and I posted what I studied on my repository. You can see how I stuided by checking my commit records and Alice’s code execution records. As a result of taking education for a month, I was able to take all lectures up to advanced courses.

🤖 What I learned

 In the beginner course, I learned basic ways to use python libraries like Numpy, pandas, Matplotlib. You can check my summaries in data_analysis_basic, and data_analysis_practice.

 In the intermediate course, I studied various Machine Learning approaches. I learned about large approaches like Supervised Learning, Unsupervised Learning, Reinforcement Learning, and detailed machine learning techniques like classification, regression. You can check my summaries in machine_learning.

 In the advanced course, I learned basic concepts of deep learning, and various concepts about natural language processing like Word Embedding, Language Model, and Document Similarity. You can check my summaries in deep_learning_basic, natural_language_processing.