A Very Basic Introduction To Machine Learning With TensorFlow ☺️

When I was first learning about machine learning, I was always intimidated by certain questions like “what programming language should I use?”, “where do I start?”, “what even really is machine learning?” and many other variations of those questions. Thankfully, machine learning at it’s core really isn’t dependent on a programming language more so then learning the core fundamentals of what even is machine learning.

What is Machine Learning?

Let’s look at this definition of machine learning that I literally just copied and pasted from Wikipedia:

“Machine learning (ML) is the study of computer algorithms that improve automatically through experience.[1] It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so.”

Now you know, thanks for reading my article… just kidding. First off, machine learning is used when we want to gather insight on a data set by feeding data to our developed code, from there, the computer will go ahead and make a prediction based on the data that was feed it. An extremely important variable at play is the accuracy of the specific code, which we’ll get…