It’s a widely known fact that we are now creating more data each day than ever before. The data we produce is primarily digital which is great because it doesn’t take up physical space on your desk and requires minimal dusting. This shift has been hailed by those looking…
Over the past few years the adoption of ‘the cloud’ has exploded, making cloud computing a big deal and as developments in the field advance it’s likely to revolutionize computing as we know it. From cloud storage solutions like Google Drive and OneDrive, to cloud-based streaming services like Netflix and Spotify, the cloud is now everywhere.
Fact: we are now surrounded by more information than ever before. As billions of people create data and even more devices sense, capture, interpret, and communicate this information, the era of big data is set to get exponentially bigger as the world’s population grows, society becomes more connected, and…
While AI may be one of the biggest deals in science, technology, and popular culture today, it’s actually far from a new concept with the earliest ideas of artificial beings and human-like machines stretching back to ancient Greece.
Nevertheless, the application of increasingly intelligent machines to utilize the influx of…
K-means clustering is one of the oldest and most popular clustering methods. As an unsupervised machine learning algorithm, it’s perfect for data mining, or finding patterns in large amounts of unlabelled data. Lucky for us, k-means is easy to use and relatively accurate.
Command line is one of the most powerful tools on your computer, but the chances are, you may have never used it. Understanding the basics of command line will not only improve your computing skills, but will also help you accomplish your machine learning goals.
Never heard of command line before? Read on to learn how to use command line and why it will help you level up your ML game.
If you’re new to the wild world of artificial intelligence, then odds are you’ve come across a dizzying array of new terminology, insider jargon, and words specific to the field.
If this describes you, then you’re in luck. This AI glossary is a one-stop list of the most important terms to know in artificial intelligence, its sub-fields, core technologies, and related disciplines in a format that can be referred back to during those times you find yourself saying, “wait, what does this mean again?”
If you’re new to the world of AI and looking to dive head first into the exciting world of machines then I have some good news because there is a lot of information available!
Some of the world’s leading thinkers in the fields of machine learning, data, and computer science are actively writing about everything from the ethics of AI and our future alongside intelligent machines, to the cutting-edge breakthroughs and technologies that are making it all happen.
If you’re ready to start learning Python then things are about to get seriously exciting.
But where to begin?
You might be asking yourself “How the heck do I even start?!” Luckily, learning Python is a) just like learning anything else and b) totally doable.