Applied Math & Statistics for Machine Learning
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 678 MB | Duration: 2.5 hours
What you'll learn
Learners will understand the fundamentals of mathematics and statistics relevant for machine learning. The concepts covered will be application oriented rather than theory.
Requirements
None
Description
This course teaches you the basics of math and statistics but from an application perspective. Its one thing to know about the concepts but it is another matter to understand the application of those concepts. Without this understanding, deploying and utilizing machine learning will always remain challenging. You will learn concepts like measures of central tendency vs dispersion, hypothesis testing, population vs sample, outliers and many interesting concepts.
Who this course is for:
Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects
https://www.udemy.com/course/applied-math-for-ml/
http://nitroflare.com/view/1FF6011115D228E/Applied_Math_%26_Statistics_for_Machine_Learning.rar
https://rapidgator.net/file/acca1e858e6025347148469a697ae19a/Applied_Math_&_Statistics_for_Machine_Learning.rar.html
https://uploadgig.com/file/download/ffc0411E8E17889B/Applied_Math__Statistics_for_Machine_Learning.rar