Every year we compile a list of our Top 10 blog posts, to keep those who are out of the loop easily informed of the latest developments and thinking in data analytics. But in the interest of evolving and practicing what we preach, we are letting data inform the structure of our “Top Blogs” post this time around.
We’ve found that our top blogs in 2017 are divided in to clear topic clusters, which presents us with the opportunity to give you the top blogs in the area you are really interested in: or at least the areas the numbers say you are interested in!
Our first blog collection’s topic will come as no surprise, given the recent and continual buzz on machine learning. It is, after all, where so much is heading.
According to our data, these are the Top Four blogs that are recommended reads relating to Machine Learning, whether you are new to it or a practiced hand:
What is Machine Learning?
Here’s a blog post covering some of the most frequently asked questions we get on Machine Learning and Artificial Intelligence, or Cognitive Computing. We start off with “What is Machine Learning?” and finish off by addressing some of the fears and misconceptions about Artificial Intelligence.
The Mobile Apps on your Phone that Use Machine Learning
Chances are you’ve been using and benefiting from Machine Learning all this time without even knowing it. In this blog post, my colleague Julian goes through some of the many apps on your mobile phone that use Machine Learning to make recommendations, get you to your destination quickly and safely, improve your photos, tell you what song you’re listening to and more. You’ll see, Machine Learning is not so far away. It’s already in the palm of your hand.
Making the Move from Predictive Modelling to Machine Learning
The move from predictive modelling to machine learning can be easier than you think. However, before making that move you need to keep two key considerations in mind to ensure that you benefit from all that machine learning has to offer and that your predictive analytics system remains a trustworthy tool that lifts your business, rather than harming it: Consequence of Failure and Retraining Frequency.
Automation and Machine Learning: How Much is too Much?
At Principa we’ve become quite passionate about Machine Learning and the positive impact it can have on your business. Recently quite a bit has been published in the press about how automated machines should be allowed to get. Most famously perhaps there have been the warnings from the likes of South African-born Elon Musk and theoretical physicist Professor Stephen Hawking.
While we don’t anticipate our machine learning engine morphing into Skynet anytime soon(!), there are nevertheless very important points that need to be considered. While we won’t cover all of these issues in this post, my colleague Tom Maydon brings a couple of them to the fore.
That wraps up our Top Blogs on Machine Learning in 2017. If your new year’s resolution is to implement machine learning and data science in your business area, Genius might be for you. Genius uses machine learning as a Service to provide advanced decisioning and answers for specific areas of your business. If you need a business question answered by machine learning, find out more by clicking below, or get in touch with us.
