Machine learning for everyone.
The last few years have seen deep integration of machine learning in our everyday lives. Present day machine learning has pushed the limits on what computers can achieve in improving healthcare, transportation, education, finance, law & order, judiciary and in many other.
Companies like Uber, Apple, Tesla and others are using machine learning to revolutionalize the transportation industry - “self-driving vehicles”. Palantir, Google’s Deepmind and Amazon’s recommendation platforms are also relying heavily on machine learning.
My talk will help any programmer implement the basic concepts of machine learning in just a few lines of code.
Definitions and Outline of Machine Learning
Python for Machine Learning ?
Supervised, Unsupervised, Semisupervised.
Kinds of problems (Regression Problems, Classification et all.)
Statistics and Basic Mathematics for Machine Learning
Working with data (Applying Machine Learning Techniques)
A power demo
Comparisions of various Machine Learning Libraries
Stationery (Pen, Pencil, Notebook or whatever works)
Laptop with Python
Sense of humor
At-least one Infinity stone.
I am software engineer working with Machine Learning abstractions for the past one year. I am excited by machine learning, more precisely deep learning.
I work with Pandas, Tensorflow and am always on the look out for new libraries. My love for data and it’s patterns is driving me crazy, by that I mean - crazy about publishing articles, journals and other cool stuff.