Mathematics & Statistics for Machine Learning
These concepts will help you to lay a strong foundation to build a thriving career in artificial intelligence.
This course teaches you the concepts mathematics and statistics but from an application perspective. It’s 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. You will also gain insights into gradient decent and mathematics behind many algorithms.
Requirements
No prior experience is required. We will start from the very basics.
Who this course is for:
Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects
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