Machine learning is the science of getting computers to act without being programmed.
Machine learning can be used in many different ways, such as: Improving search engine rankings, Improving the quality of online services, Identifying spam messages.
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Interpretable machine learning One of the main differences between machine learning and statistics is that machine learning is focused more on performance, whereas statistics is focused more on interpretability. The differences between statistics and machine learning is something I have written about in the past. However, as machine learning is becoming an integral part of many Read more…
This year I had the chance to teach Social Media Analytics at the Cyprus International Institute of Management. Social media analytics is not really recognised as an independent field. It is more of a collection of techniques applied to data gathered from social media. However, I believe that we should Read more…
Genetic algorithms: A bit of history Genetic algorithms used to be a very popular branch of algorithms during the 90s early 00s. Genetic algorithms used to be one of the cornerstones of what is called computational intelligence. Computational intelligence is a subfield of artificial intelligence based mainly on the idea of creating Read more…
A recommender system is the kind of service that every B2C startup needs. It can improve sales and user experience, while at the same time helping you understand your customers better. So, let’s tackle each point in turn. Building the right data strategy I have talked about this briefly in another post Read more…
Deep learning has become one of the hottest buzzwords in the world of tech. And like all buzzwords it has raised questions, created expectations but has also given birth to some amazing solutions to problems that couldn’t be solved before. Until fairly recently, it was believed that additional layers do Read more…
Bitcoin and machine learning Something that I’ve been asked a lot is whether it is possible to predict Bitcoin (or any other’s cryptocurrency’s prices) in order to make a profit. With the size of the cryptocurrency market right now being in the range of billions worth of dollars, it makes Read more…
Something I am asked quite often is what is the difference between machine learning and AI. Machine learning has become one of the hottest words in the last decade.However, many people falsely ignore the history of AI, sometimes confusing the two, and falsely believing that machine learning can lead straight to Read more…
Chatbots in our day and age I really like chatbots. Recently I finished a project with Artelligen, where we had to create a chatbot helps with compliance, and can connect to different data sources. However, one of the questions that comes up is, how can you make sure that the Read more…
I am very happy to announce that I have released a new course on Experfy! The course covers sports prediction and betting using machine learning. I am attaching the course description below. Contact me if you are interested in a discount! Course description: Predicting sports outcomes The purpose of this Read more…
With the rapid expansion of data science and supporting technologies it can become difficult to keep up with all new developments. There is always some new library for data analysis and machine learning for R or Python. This is where cheat sheets can be a useful tool to save you Read more…
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