The 1Mby1M Methodology is based on case studies. In each course, Sramana Mitra shares the tribal knowledge of tech entrepreneurs by giving students the rare seat at the table with the entrepreneurs, investors and thought leaders who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana’s synthesis of key learnings and incisive analysis add great depth to each discussion.
There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.
This course shares a list of Udemy courses based on the 1Mby1M methodology that will assist budding entrepreneurs in creating a pragmatic strategy.
I believe, strongly, that entrepreneurship and entrepreneurial capitalism can be democratized, and wealth can be created in the middle of the pyramid using capitalistic principles. In the next 2-3 decades, the potential for distributed capitalism is very high and the outcome should be extremely positive around the world. That is the mission upon which my current work with One Million by One Million is based.
Artificial Intelligence, Big Data and Machine Learning are going to be at the forefront of this immense burst of energy.
Let’s talk about the field of medicine. If you think about what a doctor needs to do to diagnose an illness, she needs to consider all the symptoms, take into account all the test results, consider all the treatment options, factor in all the side-effects of various medications and their interplay with other medications the patient is already taking.
This is, effectively, a multivariate optimization problem that a doctor has to do in her head. And, she needs to keep up with all the new research and advances in medical science, and factor those in as well. The field of medicine is full of incorrect diagnosis and mistreatment of illnesses. Now, if you replace this whole process with software, which IBM is trying to do with their Watson supercomputer, medical diagnosis becomes a truly scientific, deterministic process.
I can tell you, if I have the option of being diagnosed by software versus a human doctor, I would always prefer software. It would be far more accurate.
Let’s get started.
