Machine learning(ML), as the name implies, is the science of getting computers to act without being explicitly programmed by enabling them to learn and improve from experience. Tapping into the potential of ML could help automate a considerable portion of the compliance process. Hence, ML is gaining momentum in areas of Regtech, such as AML and KYC.
This highly popular course on Machine learning offered by Stanford University via Coursera.org is delivered by Andrew Ng, the co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. The course has garnered numerous positive reviews, and those who have taken the course highly recommend it as a good starting point for learning ML.
The course is 100% online, with flexible deadlines, and take approximately 54 hours to complete. The content is presented in English with subtitles available in Chinese (Simplified), English, Hebrew, Spanish, Hindi, and Japanese and comprises videos, readings, and quizzes. At the end of the course, the participants can gain skills in Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, and Machine Learning. And, you will not only have theoretical knowledge but practical know-how on applying the techniques to solve problems. And, participants can earn a shareable certificate upon course completion. To learn further details about the course or to enroll, click here to visit the respective page on Coursera official website.
