This free video, just published, at the very end of 2019, takes a look at the key trends that have shaped the year at the intersection of data science, business intelligence, machine learning, and advanced analytics. As is the current fashion, I--Rafal Lukawiecki--would also like to share a few predictions about the future of our industry, looking towards 2020 and slightly beyond. If you are interested in specifics of what is new and changing in the world of Microsoft machine learning technologies, notably the very new Azure ML, make sure to also watch the next video in this series (coming later today), Microsoft Machine Learning Technologies: View Towards 2020, which is available to subscribers. The first trend that I discuss which has characterised 2019 is the pervasive nature of the SQL language, which is still at the very top of all rankings of the tools used in our industry--even more popular than Python or R. This is no surprise, as it fulfils many roles, notably in data preparation, which accounts for majority of the cost and effort of every data science or AI project.

Could machines, in time, write software themselves, and take programmers' jobs? At the very least, they might well provide the same boon automation has for many other fields: Remove some of the drudgery, and leave developers to do more creative work. A recently released research paper co-authored by Microsoft Research and the University of Cambridge discusses how a machine learning system called DeepCoder could learn to write small programs by using routines from other programs as raw material. It uses small snippets of code, only a few lines each, written in a custom, DSL (domain-specific language) to make it easier to analyze the input and output of each snippet. The better a match each snippet is to solving a particular problem, the more likely it'll end up as part of the solution.

Companies like Google, AWS and Microsoft have introduced their own machine learning platform in cloud. In this blog, we are going to share my experience while getting started with machine learning platform. Very first question that I ask myself was "Why this provider?"

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Microsoft has trained its artificial intelligence software to replicate and produce original paintings based upon the works of Rembrandt van Rijn in the hope to refine its deep learning and facial recognition programmes. In actual fact, the above image is an entirely original tribute to the master's works, created by a machine. The battle between humans and AI has been reignited after Google reaped the benefits of the excessive man hours applied to its AlphaGo software in March, which saw the computer program defeat Go champion Lee Se-dol 4-1 repeatedly in the Chinese board game, embarrassing one of humanity's finest players. Now Microsoft is now flouting its AI abilities, having tasked it with studying classic paintings to produce a brand new Rembrandt painting. ING, Microsoft, Delft University of Technology, The Mauritshuis and Museum Het Rembrandthuis all pitched in to birth the aptly named'The Next Rembrandt' project.