Explanation
Complete Mathematics, Statistics & Probability Machine Learning, This is a very comprehensive Mathematics, Statistics, and Probability course, you learn everything from Set theory, Combinatorics, Probability, statistics, and linear algebra to Calculus with lots of challenges and solutions. Business Analytics, Data Science, Data Analytics, and Machine Learning. Mathematics, Probability & Statistics is the foundation of modern science such as machine learning, predictive risk management, cognitive statistics, and business decisions. A deep understanding of these will enable you to solve many daily business and scientific forecasting problems and analytical problems. This course includes but not limited to: Set, Universal Set, Improper Subset, Super Set and Singleton Set, Live or Empty Set, Power Set
What will you learn?
- Learn Linear Algebra, Machine Calculus and Deep Learning
- Learn to use Python to solve math problems
- Learn the difference between Machine Learning and Deep Learning
- Learn about probability theory in Machine Learning and Deep Learning
- Different types of distribution: Normal, Binomial, Poisson…
- Learn in detail about set theory, reactions and combinations
- Understand how to connect probability and statistics
- You will learn how to apply Bayes theorem
- You will learn the laws of binomial and non-binary probability
- You will learn about dependent and independent events in probability
Who is this course for?
- Students and professionals
- Those who need to understand how to apply probability to solve problems
A Complete Guide to Mathematics, Statistics & Probability in Machine Learning
- Publisher: Udemy
- Teacher: Donatus Obomighi
- Language : English
- Level : All Levels
- Number of courses: 723
- Duration: 30 hours and 6 minutes
Content 2023-7
Requirements
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
23.87 GB