인프런 - 라이프타임 커리어 플랫폼

강의 리스트

Linear Algebra Leading to Machine Learning/Deep Learning
dlbro
₩43
입문 / Linear Algebra, Machine Learning(ML), Deep Learning(DL)
4.5
(43)
600+
Covers essential linear algebra for Machine Learning/Deep Learning research.
입문
Linear Algebra, Machine Learning(ML), Deep Learning(DL)
Linear Algebra Leading to Machine Learning/Deep Learning
dlbro
₩43
입문 / Linear Algebra, Machine Learning(ML), Deep Learning(DL)
4.5
(43)
600+
Optimization theory 1: 10 minutes a day, 1 month completion
jhim21
₩43
초급 / optimization-problem, Linear Algebra, Machine Learning(ML), Computer Vision(CV)
5.0
(1)
This is the optimization theory required for AI/deep learning, computer vision, computer graphics, etc. Optimization Theory 1 mainly deals with the definition of multivariable functions and differentiation of multivariable functions. Why is that? Because all optimization problems are expressed in the form of multivariable functions. If you acquire the exact definition of multivariable functions and the concept of differentiation, the theoretical approach in the above fields will become considerably easier.
초급
optimization-problem, Linear Algebra, Machine Learning(ML)
Optimization theory 1: 10 minutes a day, 1 month completion
jhim21
₩43
초급 / optimization-problem, Linear Algebra, Machine Learning(ML), Computer Vision(CV)
5.0
(1)
Mathematical Statistics Basics for Non-Majors (Practical)
SW School
₩26
초급 / Linear Algebra, Probability and Statistics, Python, Machine Learning(ML), Deep Learning(DL), Big Data
This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.
초급
Linear Algebra, Probability and Statistics, Python
Mathematical Statistics Basics for Non-Majors (Practical)
SW School
₩26
초급 / Linear Algebra, Probability and Statistics, Python, Machine Learning(ML), Deep Learning(DL), Big Data
Basic Mathematics for Deep Learning
Masocampus
₩46
초급 / Deep Learning(DL), Machine Learning(ML)
4.8
(5)
답변 활발
답변 활발
Understand machine learning concepts, AI learning principles, and mathematical principles for model implementation to fully utilize deep learning!
초급
Deep Learning(DL), Machine Learning(ML)
Basic Mathematics for Deep Learning
Masocampus
₩46
초급 / Deep Learning(DL), Machine Learning(ML)
4.8
(5)
답변 활발
답변 활발
Getting Started with MATLAB
pnuswedu
무료
입문 / MATLAB, Machine Learning(ML)
4.7
(6)
400+
Let's build a foundation of MATLAB and apply and understand the basic concepts of programming!
입문
MATLAB, Machine Learning(ML)
Getting Started with MATLAB
pnuswedu
무료
입문 / MATLAB, Machine Learning(ML)
4.7
(6)
400+
[R] Basics of Statistics for Machine Learning
coco
₩39
초급 / Statistics, R, Machine Learning(ML)
4.2
(9)
100+
This course is for those who want to study machine learning but lack statistical knowledge.
초급
Statistics, R, Machine Learning(ML)
[R] Basics of Statistics for Machine Learning
coco
₩39
초급 / Statistics, R, Machine Learning(ML)
4.2
(9)
100+