Lossy and Lossless Compression : Journey Into the compressed universe
Video streaming and conferences largely depends on compression for the overall video quality, 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.
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 Uses of Dimentionality Reduction comparison of two important compression algorithms.
jupyter notebook, basic ml
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.