Why this course?

What will you gain out of this course?

• You will understand the fundamentals of mathematics and statistics relevant for machine learning
• You will gain insights on the application of math and stats on machine learning
• You will implement data cleaning and validation tasks to get your data ready for data mining activities
• You will know what problems Machine Learning can solve, and how the Machine Learning Process works
• You will learn Measures of Central Tendency vs Dispersion
• You will understand Mean vs Standard Deviation & Percentiles
• You will have clarity on the Types of Data & Dependent vs independent variables
• You will be knowledgeable on Probability & Sample Vs population
• You will gain clarity on Hypothesis testing & Concept of stability
• You will learn the Types of distribution & Outliers

Description

The trainer of this course is an AI expert and he has observed that many students and young professionals make the mistake of learning machine learning without understanding the core concepts in maths and statistics. 

This basic course will help to address that gap in a big way. Since Machine Learning is a field at the intersection of statistics, probability, computer science, and mathematics, its essential for practitioners and budding enthusiasts to assimilate these core concepts. 

This course teaches you the basics of mathematics 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.

Whether you a student or an experienced professional or a teacher, this program will help you to realize your career goals.

Pre-requisites:

None