What is machine learning? How does it work? How much math is involved? An engineer breaks it all down.
The ultimate goal of the supervised learning algorithm is to predict Y with the max accuracy for a given new input X. Here's how that works.
Automate and replicate without bursting your architecture.
Whether you’re brand new to machine learning or have tried (and failed) to get models working in Python, Weka may be the perfect starting point for you.
There are many paths to a career in machine learning. How do you know which one to take?
This introduction to scikit-learn will have you applying AI in no time. Leverage these powerful Python tools to do the heavy lifting for you.
And demand for their expertise is only going up.
Come with me on a whirlwind tour of 5 libraries that will be a great addition to your data science stack.
