BUZZ word

Inspiration

Task given by LHD

What it does

I have implemnted and experience this new technology and this journey is great.

Challenges we ran into

various as I have learned so many new things and how machine learning works

Accomplishments that we're proud of

Gained a basic knowleged in the field of ML

What we learned

We’re in the age where machines are no different. Machine Learning is still fairly a new concept. We can teach machines how to learn and some machines can even learn on its own. This is magical phenomenon is called Machine Learning. Targeted Audience: Beginners and/or Machine Learning Fresh Bloods Hopefully this article will provide some useful insights and open up your mind to what computers can do now a days. I won’t go in depth about what machine learning is, but rather a high-level overview.

Applications of Machine Learning Before we get started, here is a quick overview of what machine learning is capable of: Healthcare: Predicting patient diagnostics for doctors to review Social Network: Predicting certain match preferences on a dating website for better compatibility Finance: Predicting fraudulent activity on a credit card E-commerce: Predicting customer churn Biology: Finding patterns in gene mutations that could represent cancer How Do Machines Learn? To keep things simple, just know that machines “learn” by finding patterns in similar data. Think of data as information you acquire from the world. The more data given to a machine, the “smarter” it gets.But not all data are the same.Imagine you’re a pirate and your life mission was to find the buried treasure somewhere in the island. In order to find the treasure, you’re going to need sufficient amount of information. Like data, this information can either lead you to the right direction or the wrong direction. The better the information/data that is obtained, the more uncertainty is reduced, and vice versa. So it’s important to keep in mind the type of data you’re giving to your machine to learn.

What's next for BUZZ word

maybe be deep learning is the next step

Built With

• machine-learning