MACHINE LEARNING THEORY

컴퓨터가 센서 데이터 나 데이터베이스와 같은 데이터를 기반으로 시간 경과에 따라 성능을 향상시킬 수 있도록하는 알고리즘 설계 및 개발에 대한 기계 학습 우려. 감독 학습, 감독되지 않은 학습 및 통계 학습과 같은 주요 기계 학습 패러다임을 조사합니다.

By the end of this course, my aim is for you to be comfortable with the following: * Understand the different fields of machine learning, such as supervised and unsupervised learning, and reinforcement learning. * Acquire theoretical Knowledge on setting hypotheses for pattern recognition. * Apply suitable machine learning techniques for data handling and gain knowledge from it. * Evaluate the performance of algorithms and provide solutions for various real-world applications. * Learn how to use the Python programming language and Python’s scientific computing stack for implementing machine learning algorithms. * Reinforce the learned knowledge, students will do some team projects in groups. Through these projects, students will solve some real-life or synthesized problems using some of the learned methods.

I. Classroom Rules (1.1) Class begins promptly at the beginning of the class period. It is advisable that students be in their seats and ready to start participating in a class at that time. (1.2) When the student has a question or comment, s/he needs to raise her/his hand first as a courtesy to her/his classmates. Remember, questions are NOT an imposition – they are welcome. Asking questions will help the students to learn more, and questions also make the class more interesting. II. Tardiness/ Absences (2.1) I expect students' full attention for the entire class period. If the student knows that s/he will need to leave before the class is over, s/he has to inform me before the start of the class, also s/he needs to try to sit as close to the door as possible so as not to disrupt others. Similarly, if the student arrives in class late, s/he needs to slip in as quietly as possible and take the first available seat s/he comes to. (2.2) If the student has an emergency or illness, s/he needs to contact me ahead of time to let me know that s/he will be absent, s/he also must provide formal documentation that supports her/his claims. If the student misses a class, it is s/he responsibility to contact me, outside of regular class time, to determine a plan to make up the missed work. III. Assignments & Quizzes (3.1) Students have to complete and submit assignments/quizzes by the due date. Assignments/quizzes began in class and completed at-home or home assignments/quizzes need to be submitted by students on the next class or given due date. (3.2) Failure to bring assignments/quizzes to class on the due date will result in a missing assignment grade. When the assignment is submitted late the following week there will be a 5-point penalty deduction. (3.3) Assignments/quizzes not received by the second week past the due date will receive a grade of zero. No assignments will be accepted more than two weeks late. IV. Do Not Use Mobile Phones During Class!