2:00 PM Sunday
Fireside A
Silicon Valley Code Camp : October 7 & 8, 2017session

Statistics and Linear Algebra basics for Machine Learning

Understand the basic concepts of statistics and linear algebra for machine learning

About This Session

The basics of statistics and linear algebra are important tools to become expert in machine learning. These concepts act as building blocks to efficiently use Python libraries like scipy and numpy. The objective of this course is to provide the introduction to strategies that needs to be followed for Data preprocessing and understand the data transformation processes.

Time: 2:00 PM Sunday    Room: Fireside A 

The Speaker(s)

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Bhavana Bhasker

Data Scientist , Comcast

Data Scientist with R&D experience