Cloud Data Science Seminar
Cloud Data Science Seminar
- January 2, 2019
- Posted by: New Horizons Singapore
Have you ever thought about how your mail inbox is so smart that it can filter Spams, label important emails or conversations, and segregate promotional, social, and primary messages? There is a complex algorithm in place for this kind of prediction and this algorithm comes under the wide umbrella of Machine Learning. The formula looks at the words in the subject line, the links included in the mail, and/or patterns in the recipient’s list. Now, this method is definitely helping the business of email providers and such predictive (as well as prescriptive) algorithms can help all kinds of businesses. But first, let’s define exactly what Machine Learning (ML) is.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
The power of Machine Learning is hidden in the self-teaching algorithms, which when exposed to huge amounts of data, can study and learn for improved results. Data is the accelerator for our information-based society with extremely fast speed. That’s why new tech specialists and machine learning techniques are in a huge demand to cope with the new wealth of information in large and difficult systems.
Machine learning in business helps in enhancing business scalability and improving business operations for companies across the globe. Artificial intelligence tools and numerous ML algorithms have gained tremendous popularity in the business analytics community. Factors such as growing volumes, easy availability of data, cheaper and faster computational processing, and affordable data storage have led to a massive machine learning boom. Therefore, organizations can now benefit by understanding how businesses can use machine learning and implement the same in their own processes. If implemented in the right manner, ML can serve as a solution to a variety of business complexities problems, and predict complex customer behaviors.
Join us for this seminar to discuss on Machine Learning capabilities and improve the way you analyze data sets.