Coursera Machine Learning by Andrew Ng is an online non-credit course authorized by Stanford University, to deeply understand the inner algorithms in Machine Learning. Machine learning is a core sub-area of artificial intelligence, it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. The instructor of Coursera Machine Learning is Andrew Ng.
Machine Learning focuses on the development of Computer Programs that can access data and use it to learn. The process involved in Machine Learning is very similar to that of Data Mining and Predictive Modelling. Machine Learning algorithms are often categorized as supervised and unsupervised. Our classroom programmes are carefully crafted for students of all backgrounds and experiences. Our Trainers come with a lot of experience and have proven expertise in the domain they teach.
When the world's smartest companies such as Microsoft, Google, Alphabet Inc., and Baidu are investing heavily in Artificial Intelligence (AI), the world is going to sit up and take notice. Chinese Internet giant Baidu spent USD1.5 billion on research and development. And as proof of China's strong focus on AI and Machine Learning, Sinovation Ventures, a venture capital firm, invested USD0.1 billion in "25 AI-related startups" in the last three years in China and the U.S. Research shows that although genuine intelligence may still be a bit far off, AI and Machine Learning technologies are still expected to reign in 2017. Try reading up on Microsoft Project Oxford, IBM Watson, Google Deep Mind, and Baidu Minwa, and you'll understand what I am trying to get at. In 2015, Gartner's Hype Cycle for Emerging Technologies introduced Machine Learning (ML), and the graph showed (Figure 1) that it would reach a plateau in 2 to 5 years.