What is computer vision?

Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer…

Nowadays, text processing is developing rapidly, and several big companies provide their products which help to deal successfully with diverse text processing tasks. In case you need to do some text processing there are 2 options available. The first one is…

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In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent language for data…

Spark is a powerful tool which can be applied to solve many interesting problems. Some of them have been discussed in our previous posts. Today we will consider another important application, namely streaming. Streaming data is the data which continuously comes as small records…

Nowadays data proves to be a powerful pushing force of the industry. Big companies representing diverse trade spheres seek to make use of the beneficial value of the data. 

Thus, data has become of great importance for those…

The vast possibilities of artificial intelligence are of increasing interest in the field of modern information technologies. One of its most promising and evolving directions is machine learning (ML), which becomes the essential part in various aspects of our life. ML has found…

Spark SQL is a part of Apache Spark big data framework designed for processing structured and semi-structured data. It provides a DataFrame API that simplifies and accelerates data manipulations. DataFrame is a special type of…

Spark’s primary abstraction is a distributed collection of items called a Resilient Distributed Dataset (RDD). It is a fault-tolerant collection of elements which allows parallel operations upon itself. RDDs can be created from Hadoop InputFormats (such as…

Natural language processing (NLP) is getting very popular today, which became especially noticeable in the background of the deep learning development. NLP is a field of artificial intelligence aimed at understanding and…

Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. It has originally been developed at UC Berkeley in 2009, while Databricks was founded later by the creators of Spark in 2013.…

The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever.…

Oracle VM VirtualBox - a suite of applications, system services and drivers that emulate the new computer equipment in the environment of the operating system where you installed VirtualBox. On a virtual machine can be installed almost any operating system. For example, on a real computer with Windows, you can install a virtual machine with operating systems Linux and use both operating systems simultaneously. This operation we wish to make in this article.…

Data science is a promising and exciting field, developing rapidly. The area of data science use cases and influence is continuously expanding, and the toolkit to implement these applications is growing fast. Therefore data scientists should be aware of what are the best solutions for the particular tasks.  

So while many languages can be useful for a data scientist, these three remain the most popular and…

Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that proved to be the most helpful at that moment. This year, we expanded our list with new libraries and gave a fresh look to the ones we already talked about, focusing on the updates that have been made during the year.

Our selection actually…

R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical computing, so its interface and structure are very well suited for the scientific tasks. Moreover, R has one of the most developed libraries systems that counts thousands of packages to solve a wide variety of problems.

Although there are many general-purpose…

In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies.…