INDUSTRIALISING MACHINE LEARNING

In the 16th episode of the business intelligence report in partnership with Bright Talk, we'll be taking a deeper look into machine learning solutions, in particular, data-centric machine learning and machine learning pipelines, in conversation with Rajdeep Biswas, Director, Advanced Analytics & Machine Learning at Microsoft and Nik Spirin, Co-founder & CEO at Metapixel AI Machine learning is an application of artificial intelligence, that includes algorithms that parses the data, learn from the data, and then apply what they have learned to make informed decisions. There are hundreds of examples of machine learning; the music streaming service, for instance, uses ML to make a decision about which new song or artist to recommend to a listener. Machine learning algorithms associate the listeners' preferences with other listeners who have similar musical tastes. This technique is used in many services that offer an automatic recommendation. More specifically, right now deep learning (DL) is considered an evolution of machine learning and it uses programmable neural networks that enable machines to make accurate decisions without the help of humans so it's, it's more sophisticated.