Data Science and Machine Learning- Future Is Here!

Data Science is the future- let's face it. You must have come across this many a times in the recent days. If you ask Google about Data Science, you will find plenty of results referring to a career path as a Data Scientist, a job, and its positive impact.

Importance & Impact of Data Science and Machine Learning?

Data Science and machine learning are the innovative technology today, that can process BIG Data in a jiffy. Data science requires a vast range of abilities that include coding, data analysis, and computer programming in languages like “Python” & “R”. DS/ML is a field where analysts use statistics, mathematics, and computer science to identify a problem and propose solutions through data analysis and model creation. It’s important to note that data science is changing the way that humans interact with data. It’s also been described as data-centric analysis which means that humans use a lot of mathematical formulas to draw conclusions.

If you’re not familiar with computer programming, it’s important to start somewhere, so go online and find the data science career information that you need. You may be required to work with the “Big Hairy Audacious Goal” (BHAG), which is a long-term aim or objective, but it will give you a clear idea of what you’re up against. You may have to read and reread various articles to find out more details of your options. You may also have to work through courses and learn some coding or other programming languages which may require a huge amount of dedication to the goal.

Data Science & Machine Learning in Business

Data Science (DS) and Machine learning (ML) can not only improve your business at the core level but also on how you are serving the market from a data point of view. The way things are heading, data is the future as more companies will be offering and creating a better service based on big data.

It’s not just about understanding the needs of your consumers, but the better you know what they want, the better you know what they need. How can you leverage the benefits of Machine Learning for your business? Well, it seems that there’ll be no need to learn things such as code from scratch as more companies will come out with easier tools that can help you achieve the target and achieve big data, all you need to know is how to work the tools efficiently. There are some great tools being put out to ease your efforts.

DS/ML is slightly tricky if not hard. It is not a magical box, it’s not just statistics and data mining, which have been around for many years. And it’s not even just applied data science, which has been about understanding the relationships in the data and using that to make smart business decisions. Data science is all those combined, plus, it is about managing your data so that you can get that information back to the people responsible for running your businesses.

Data Science & Machine Learning is the future of every business and every industry. Every data scientist has at least 3 challenges that needs to be solved before they can take their first big step in their career. The first is a challenge of how to choose the right algorithm for the appropriate situation. The second challenge is that most current data scientists and business leaders still believe that data science is just statistics and they do not know how to use data science correctly. The third challenge is how to translate the algorithms into a workable solution in the data scientist’s day to day tasks.

The good news is that most of the third challenge is being solved by the time you are reading this. The first two challenges are being taken care of by data scientists, but the sad part is, that some organizations are yet to explore its full potential. Still, many industries have started using it to create models and solve problems in various fields, for example marketing, IT, politics, education to name a few.