The webinar covers the foundations of data compression in the context of the broader subject of information theory. The learner will gain valuable insight into how lossless compression works and why the techniques are robust and trustworthy. In the historical perspective, data compression concepts have arrived in a timely manner to aid the expanding data storage and wireless communication needs of the modern era. The measure of information is defined probabilistically, it is formally defined as entropy, a term that Claude Shannon borrowed from quantum mechanics.









