Session Details
Statistics and Linear Algebra basics for Machine Learning
Presentation
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.
The Speaker(s)
Bhavana Bhasker
Bhavana Bhasker is a Data Scientist at Comcast SiliconValley Innovation Center. She has research experience in Deep neural networks and Applied Machine Learning. She is also a part time lecturer at San Jose State University. Her area of interests are Computer Vision and Natural Language processing.
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