Machine Learning Wonders

Traditionally how business people and organizations use to generate business? The simple answers that come across are hard work, how? By doing market research, visiting each retail shops in person, talking to them, asking about their requirements. And what was the status of people’s need was they use to take the questionaries’ personally to every door and make them understand their product or services? So clearly a lot of hard work one has to put in and all by human efforts.
The current scenario is way dissimilar than this, there is so much information is available on the internet and x number of algorithms, tools, techniques, practices that have taken place and still evolving, all to generate accurate data and helping the world to be an immensely comfortable place to live.

Today's post is about that. It's about the new, perhaps surprising ways that companies (and non-profits) are using machine learning to make smoother, faster, better products.

1. Sealed mobile ID is trying to diagnose the user of a mobile device grounded on accelerometer data (how he holds and moves the phone). This is too much of technology, we have made the machine so smart that it has the ability to observe the style we hold our phone and track the sensation.

2. Marin search and Cornell University are trying to detect whales in the ocean based on audio recordings so, that ship can avoid hitting them, this is how the advanced devices perform that they can a track such gigantic ocean/sea and record alerts.

3. Prediction in advance whether a product launch will be successful or not. So basically Data Science helps to find the record of similar product launch and based on the geographical location, demographic analysis, purchasing pattern of customers and many such aspects like that can help in determining the success of the launch.

4. Google Maps works on the module of tracking people’s location, by their social media logins, their current locations to make the application more accurate.

Machine learning algorithms are being used in lots of original and interesting ways. It's becoming increasingly important for companies to harness the power of their data and use it to make smart decisions. This is how evolutions are happening and still going on aggressively.

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