Importance of Data and Datasets in present time : Why data is important ?

Let's know about the importance of data and some sources from where we can get the training datasets.

We all know that we are living in the era which is industry 4.0, this model includes all type of emerging technologies and they include the use of machine learning and the artificial intelligent as well. And as I have discussed in the previous blogs that how machines use their computational power to identify and classify object but the important key point is they all need data to learn.

In handwriting detection, the machine breaks down the letters into pieces and then classify all of the pieces separately using thee hidden layers of ANN and so here comes the role of data. Machine then checks into the datasets (trained) to verify the data and then it returns the data output as result to users. Nowadays, this is the reason why data is very expensive. 

Researchers collect the data to train the datasets and make their model more precise and increase the model accuracy. There are many ways in which data are collected, some are using the ground zero analysis (in case of incidents and weather forecasting), using polls (voting actions) and the most of the times data collection takes place by using the online surveys (most of the academic institutions use this for knowing their student details and in events).

Do you know in past two or three years the data consumption reached at the top of the peak and due to this data usage, the petabyte level of data gets generated and most of the traffic comes through the internet from the automotive industry, academic institutions, etc.? But at present specially in the covid time, the need of data has increased exponentially as many companies switched over remote sessions instead of office works. And that why they need to get dependent over the Automation Machine bots and the Robots and to perform the tasks they need a lot of data to train their models.

There is a very large live example of machine learning, the google crowdsource community. They are collecting different type of data like sentiment analysis, handwriting recognition, face expression, image detection and many more to train their machines and then give with users the precise and accurate search results when users try to search on google.in fact, crowdsource orders the data contributors on the leader board and anyone in community can contribute.

Even if we search on google, it also Store our data in the form of cache and then uses to learn the search behavior to understand the search keywords of users and apply it.

Not only google but all other social media uses data for different machine learning algorithms and so they are used for some AI process but there is always chance, to have misuse of data and it is also possible that sometimes when user enter the dummy data in surveys then real world analysis and predictions get affected. These data are labelled using the machine learning libraries and then using in training the models and these all tasks are done by Data Scientist.

Because each and every data in the datasets plays very important role while training and even single data can impact the accuracy and cause lesser accuracy model.

Now so that we have talked about data, we can also get the datasets obtained using the surveys and analysis we can find them on the websites like kaggle (created by google ,many events related to data science happens there), github (consist of small databases) , John Hopkins university website (they have most accurate data related to the covid and they do perform better analysis and use the data at work).We can simply import the datasets and perform analytical operations on them as there are kept labelled data on these platforms after training.

If there occur data threats and the data privacy loss and if someone misuses, it to train the models in negative sense then there are many laws related to the GDPR and cyber security.

Data is the new OIL.