Lossy and Lossless Compression : Journey Into the compressed universe

sonam_AI


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Description:

Video streaming and conferences require a technology better performing in compression, lets dive in how the two most important types of compression algorithms works: The talk will be covering topics from algorithms to its application and efficiency. Overview:

1) Lossy vs Lossless 2) Algorithms - Huffman encoding , PCA etc 3) Applications of compression 4) Singular Value Decomposition explanation - notebook explanation 5) Images output 6) Fast Fourier Transform - notebook explanation 7) Images output Comparison

Key Takeaways: Types of compression, algorithms behind algorithms, importance of compression comparison of two important compression algorithms.

Prerequisites:

jupyter notebook, basic ml

Video URL:

Overview of talk

Speaker Info:

The Speaker has been working as Software Lead at IIT Madras Incubated Company. She is passionate about machine learning and deep learning algorithms and its deployment on Edge. She has been speaker at PyCon India 2019 and PyData BBSR 2020.

She had previously worked on the development of Level 4 autonomy for self driving vehicles, also she was appointed as an Adjunct Professor/ Visiting Professor for robotics. She is a blend of both technology and entrepreneurship , which in her term is all about solving problems in the most efficient way.

PyCon 2019 : " Solving Industrial Problems with Machine Learning" : How she used concepts of support vector machine for Inspection tools.

PyData 2020: "Supervised and Unsupervised machine learning algorithms " : Different types and applications of both the algorithms

She has been actively involved in Intel Edge AI Community where she taught use of ml in edge computing basic architecture of edge applications.

Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Intermediate
Last Updated: