machinelearning

Big Data and Machine Learning as indispensable technologies of the modern world

The most important and indispensable technologies of our time are Big Data and machine learning. Machine learning automatically trains computers based on data. It is possible by transferring data to the computer, which it uses to increase its performance while performing tasks. Big Data is the main data source for machine learning, so their connection is critical.

Big Data is a large data amount that is difficult to analyze and process. Also, it is difficult for users to understand and use such large amounts of data. Machine learning applications must process large data amounts quickly and efficiently. However, machine learning algorithms can simplify this process by automatically detecting patterns in the data.

These 2 technologies often complement each other. When used together, machines can be taught to recognize patterns in complex data sets and make accurate predictions. Therefore, modern companies are increasingly implementing solutions for working with data.

Big Data

Data can come from a variety of sources, including social media, internet traffic, sensor readings, and customer behavior. Big Data is used for various purposes, such as improving marketing performance by analyzing website visitors’ behavior or to predict customer needs, etc. However, the key purpose of using Big Data is to increase company productivity.

Big Data is widely used in various fields of activity. The healthcare sector is an active user. Physicians have an access and a possibility to analyze patient data. They allow to track the symptoms of patients, identify non-obvious patterns, make a more accurate diagnosis and effectively treat patients.

Machine learning

Machine learning is a field of Artificial Intelligence that provides training for computers using data. Very often, companies use this technology to predict customer behavior. For example, machine learning algorithms allow to analyze the previous behavior of the client and determine the likelihood of his re-applying to the company.

Also, machine learning algorithms are able to detect traces of fraud, which is also a common purpose for its use. By identifying patterns in data that indicate fraud, companies can prevent high investigation costs and fines.

Using machine learning and Big Data is beneficial. Big Data provides huge amounts of training data that is essential for machine learning algorithms. This contributes to the creation of more accurate forecasts. Also, Big Data improves the accuracy of machine learning algorithms by providing additional information about the data. For example, the analysis of historical data about stock prices helps to determine a more accurate forecast price.

These technologies are interconnected as Big Data can be used to train machine learning models. This, in turn, facilitates the discovery of patterns in the data, which allows to make accurate forecasts, better understand customers, conduct qualitative analysis and increase the overall company efficiency.

Machine Learning & Big Data

Among other modern terms and concepts, the most relevant are machine learning (ML) and Big Data. These 2 terms are often used in conjunction, although they have a fundamental difference. And it is important to understand this difference during a data strategy development.

The similarity between machine learning and Big Data is that both terms refer to the field of theoretical academic research and practical data-driven business applications. It is a scientific discipline that studies information and use cases.

Data is the main engine of technological progress. It helps to create new tools and platforms to change the world through analytics, more accurate modeling and forecasting. The development of the Covid-19 vaccine is a great example of the data importance in today’s world. Usually, it took up to 10 years to develop a vaccine. However, over the past decade, the ability to collect and process data has expanded significantly. It has significantly accelerated the pace of vaccine development. If this pandemic had happened in 2010, it would have taken a lot longer to solve this problem, just because technologies for deep data understanding were in their infancy.

This situation is made possible by both Big Data and Machine Learning. Let’s make sense of the terms.

Big Data is a collective term that includes a huge amount of ever-growing information, as well as tools, methods and technologies that have been developed to work with data, including Machine Learning. With the Internet transformation into a daily use tool, Big Data has begun to be identified as a powerful tool. Big Data isn’t just about size. Data definition as big assumes the presence of 3 characteristics («3 V»):

Machine Learning is a type of computer algorithm. It can be viewed as part of Artificial Intelligence (AI). A fundamental aspect of intelligence is learning. Machine learning is involved in creating programs that help to perform better taking into account an ever-growing data amount.

It is important to understand the difference between supervised and unsupervised ML. Supervised learning is a Machine Learning technique that includes tagged learning algorithms that lets you know immediately how well an operation has been performed. Unsupervised learning is a method of Machine Learning, as a result of what the system under test spontaneously learns to perform tasks.

Big data and Machine Learning are intertwined. The best results are most likely to be obtained by using the most appropriate ML and Big Data processes.

However, if the business does not work with Big Data, Machine Learning is unlikely to be needed. Its main advantage is the extraction of value from datasets that are difficult for classical computer and statistical analysis. For example, for a static dataset that fits into an Excel worksheet, the ML implementation will not be justified. It is advisable to use this tool in the case of working with unstructured data that cannot be understood using tables (text, graphic, sound data etc).

GoUp Chat