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Unsupervised learning - Partitional clustering - How Entrepreneurs in Emerging Markets can master the Blockchain Technology
Fintech Startups in Emerging Markets Specialization
In this course, you will gain a thorough understanding of the blockchain and distributed ledger technologies, including an introduction to the necessary foundations in cryptography. The course will discuss blockchain as a distributed ledger and introduce distributed consensus as a mechanism to maintain the integrity of the blockchain. The other revolutionary technologies that are changing the world as we speak are artificial intelligence and machine learning. You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning.

You will learn about the application of blockchain outside of finance. In particular, how blockchain fundamentally changes the way we deal with our personal data. You will see how the web 2.0 model--where big companies like facebook and google collect as much of your personal data as possible to sell it to third parties--is coming to an end. The new web 3.0 is decentralized and uses the power of the blockchain to put users in full control over their own data. Finally, we will look at the benefits and considerations of blockchain and whether blockchain is the right solution for your problem.

#UCTFintech

Excellent introduction to Blockchain and AI and their applications in business.,Really very thought of course. Strongly recommended. Thank you so much...
Welcome to the third week of our course. This week we will explore more technology that is also disrupting the financial services industry, specifically artificial intelligence or AI. We will actually get our hands dirty and cover the three streams of AI, supervised and unsupervised machine learning, as well as reinforcement learning. All three methods are widely used in the financial services industry already, and we kick the week off by giving you a bird's-eye view of the possible applications of AI in finance. Then we turn to unsupervised machine learning, which is mainly used to cluster large amounts of high dimensional and unstructured data. This has many applications in the financial services industry. Once we have covered unsupervised learning, we then dive into supervised machine learning, which is a brilliant way to classify large amounts of data. A supervised machine learning algorithm must be trained on the training data set, which is often historical data. Once properly trained, the algorithm can then correctly classify patterns in new data, which is why supervised machine learning is so powerful. The idea of training data is then taken one step further in reinforcement learning, where algorithms learn from their interactions with the environment just like a human would. Reinforcement learning is an immensely powerful tool, and many big Wall Street firms are heavily investing into AI trading algorithms that really use reinforcement learning at their heart. Once we have all this heavy material covered, it's time to treat ourselves. So, at the end of this week, you will meet a number of guest lecturers from the financial services industry who will explain to you how their companies are successfully using AI in their business. This is a big week, where we look beyond the blockchain and to the second big pillar of the Fintech revolution, AI and machine learning.
Unsupervised learning - Partitional clustering - How Entrepreneurs in Emerging Markets can master the Blockchain Technology
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