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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machinelearningaistartupcasestudy/
课程评论：没有评论
课程名称：机器学习人工智能创业案例研究（与Sramana Mitra） 课程概述：1Mby1M方法论基于案例研究。在这门课程中，Sramana Mitra与学生分享科技创业者的经验，给予他们与企业家、投资者和思想领袖直接对话的机会，获取关于如何建立成功企业的深刻见解。通过这些对话，学生将接触到探索创业各个领域的案例研究。Sramana对关键经验的总结与深入分析为每次讨论增添了巨大的深度。 目前，在Udemy上已注册超过六百万名学生学习机器学习课程。而一些勇敢者将尝试创办自己的企业。本课程将分享一系列基于1Mby1M方法论的Udemy课程，帮助初创企业家制定务实的战略。 我坚信，创业和创业资本主义可以被民主化，而财富可以通过资本主义原则在中层经济中创造。在接下来的2-3十年内，分布式资本主义的潜力极高，全球前景应当非常积极。这是我目前在“一百万创业一百万”项目上工作的使命。 人工智能、大数据和机器学习将处于这一巨大势能的最前沿。以医学领域为例，医生在诊断疾病时需要考虑所有症状、所有测试结果、所有治疗选项以及各种药物的副作用及其与患者已用药物的相互作用。这实际上是医生必须在脑海中解决的多变量优化问题。同时，医生还需跟上医学科学的新研究和进展。如果用软件替代这一整套过程，IBM正在利用其Watson超级计算机尝试做到这一点，那么医学诊断将真正变成一个科学的、确定性的过程。 如果让我选择由软件还是人类医生进行诊断，我会始终选择软件，因为它将更加准确。让我们开始吧！
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.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.
