We live in the age of artificial intelligence. Machines can now do things we once thought only humans could—such as recognize our faces and voices or beat the world’s best players in complex games like chess and poker. But how do they do it? The simple answer is that they’re learning—just like we learn in school.
In today’s world, machine learning is everywhere. From simple background checks to complex facial recognition software, machine learning algorithms are helping us solve complex problems and improve our lives. But what exactly is machine learning? And how does it work?
AI is all around us—in our smartphones, in the background processes that run our lives, and even in the products we buy. But for most of us, the inner workings of these technologies remain a mystery. We use AI without realizing it, hoping that it performs as intended. But when it doesn’t, or when we want to use AI in a new way, we’re often stumped.
We all know what machine learning is. But how does it work? What’s going on inside the black box? As with any type of programming, the answer is complicated.
we’ve all experienced the magic of machine learning—but what does it mean? The term “machine learning” refers to a set of technologies that give computers the ability to “learn” without being explicitly programmed. For example, when you ask Alexa to “play some music,” the first thing she does is find the closest genre match in her database, and then she uses her machine learning capabilities to identify the best songs to play next. But the real magic happens behind the scenes, where machine learning algorithms find patterns in your music preferences and use those patterns to make better recommendations.
Transformation! 