ConfPad

Data compression is highly important for reducing storage costs and transmission times. More than 70% of global Internet traffic is video, and it’s compressed video as a rule. Similarly, audio and images more often travel in compressed form. Lossless data compression (LDC) is an important part of a data compression system. Advanced LDC is an application of Data Science and Machine Learning, but basic LDC methods are so simple that you can implement them with zero or little knowledge of ML, DS and even Computer Science. The audience of my talk “Why Lossless Data Compression Is Both Important and Fun” will be introduced to the topic and learn several of the most vital principles. LDC competitions and benchmarks will be pictured as well, with practical advices on how to win thousands of dollars in such competitions. LDC is closely related to the notions of descriptive complexity and entropy. LDC methods can be applied for estimating descriptive complexity, for measuring similarity between files, and so on. In the second half of the talk a couple of next big things (supposedly related to descriptive complexity and LDC) will be briefly discussed.