This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
이 강좌에 대하여
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING의 최상위 리뷰
The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.
Good introduction. The time estimates to complete assignments are off. Need a lot more material and direction for assignments to aid learning.
if you really make the exercises and the final assignment the course is really contributes to your better understand of Data Analysis
It is a really insightful and interactive learning experience. Furthermore, the trainers and coaches were very knowledgable.