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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificialintelligencemlstartupcasestudy/
课程评论：没有评论
课程名称：人工智能机器学习创业预览 - Sramana Mitra 课程概述： “1Mby1M方法论”基于实际案例研究，Sramana Mitra在每个课程中分享科技创业者的经验和智慧，为学生提供与创业者、投资者及思想领袖同坐一席之地的珍贵机会。这些对话为学生提供了探索创业之路的案例研究，并深入分析了如何建立繁荣业务的关键见解和经验。 课程强调创业和资本主义的民主化，认为在未来的几十年内，通过资本主义原则，在中层经济中可以创造财富。人工智能、大数据和机器学习将在这一进程中扮演重要角色，为世界带来积极的成果。 课程还涉及医学领域的举例说明，指出在医疗诊断中涉及的多变量优化问题，展示了软件（如IBM的Watson超级计算机）如何提升诊断科学性和准确性。Sramana Mitra认为，依靠软件进行诊断的准确性远胜于人类医生。 让我们一起开始这一段学习之旅吧！
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.Udemy has over six million students who are learning Machine Learning on the platform. Many of these students are aspiring entrepreneurs.Here is a list of Udemy entrepreneurship courses based on the 1Mby1M methodology that would help them put one foot before the other to get a startup strategy figured out.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!
