Fundamental Math Concepts for Data Science / ML / AI
Many beginners intrigued by Data Science/ML/AI behold it in the awe and fear reserved for a hairy monster,
A lot of really interested, good prorammers seem to maintain distance from it because they are just plain scared of the math.
The workshop will be a refresher of the basic concepts and does not assume any prior knowledge greater than addition, subtraction, multiplication and division.
Indices and Logarithms,
Polynomials, shapes of polynomial functions,
Calculus concepts (Derivatives, Integration) and its application in gradient descent,
PDF/CDF, concept and examples - Binomial/Normal distribution ....
Knowing how to do addition, subtraction, multiplication and division.
Internet: We’ll use online tools for graphing and seeking help from our beautiful friend- google
Pen, paper and some grit to keep writing as existential Xs stareback at you asking “Who am I? Why am I here?”
I am a programmer with an odd love for maths. I enjoy simplifying heavy math protein into more absorbable amino acids, only to be assimilated into plump biceps of confidence, to be flexed when the situation demands.
I want to infect people with the addictive epiphanies from solving math problems.
and btw, I have been working as a programmer on Data Science projects for the last 6+ years and as a programmer for last 13+ years.