The world of today is digital! Every business, every person across the world has felt the impact of a digital transformation, and the field of HR has been no exception to this rule.

The theme of HR technology trends of late has been the force of digitalization: digitally-forward initiatives, strategies, and tools are taking the place of traditional practices of HR…

Machine learning (ML) is a hot topic nowadays. Everyone speaks about the new programming paradigm, models are implemented in very different domains, more and more startups are relying mainly on ML. 

At the same time, machine…

There is no doubt that Google is an absolute giant in the IT world. It creates various software tools for almost any imaginable area of activity existing today. Whatever you could want, Google, probably, has a solution. Either it is a smart voice helper or an…

Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create new containers.

But, how many containers should we have at the same time? How many…

Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious…

Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when…

One of the main requirements for modern information systems is the high data processing rate.  Among the solutions to solve this problem the popular one is to use high-performance databases. This article will review and compare two popular databases in performance terms:…

Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical equations, formulas, paradigms, patterns in order to understand the text semantics (content) for its further…

Production sphere embraces a wide range of processes related to all branches and stages of creating material goods. In addition, these material goods may be of different values and even have rather contrasting goals. 

Under conditions…

Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering hidden insights, while analytics is rather concentrated on the processing itself and conducting of statistical…

H2O is a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks. The dataset we are using is the Bank Marketing Dataset. Here we need to train a model which will be able to predict if the client of the bank opens…

Problem

While training the model, we want to get the best possible result according to the chosen metric. And at the same time we want to keep a similar result on the new data. The cruel truth is that we can’t get 100% accuracy. And even if we did, the result is still not…

A successful business requires new approaches to data management in this age. Modern advances in data science area provide an efficient solutions for numerous use cases.

Data science embraces a broad spectrum of tasks in the sphere of…

In the times when data is of extreme value, industries cannot afford to ignore it. The only right choice for them is to find new ways to use data for their benefit.

These words have become a motto for the sales industry along with the others. As far as the feature of the…

Actually the unlocking of hidden benefits and true potential of the data is an essential task for business. Also, customers` satisfaction appears to be a pushing force for evolution of services and products. If you have loads of customer data available for analysis the work on the improvement of the customers` satisfaction…

Introduction

With every article, we keep proving that data science has found broad application in numerous business areas. Now, the turn came to the construction industry as well. The world is overloaded with data. It results in a steady improvement in…

The energy sector is under constant development, and more of significant inventions and innovations are yet to come. The energy use has always been involved in other industries like agriculture, manufacturing, transportation, and many others. Thus these industries tend to enlarge…

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.

Now, insurance companies have a wider range of…

Summary:  The annual Burtch Works study of Data Science salaries and employment statistics is just out and things continue to look great.  There are some interesting trends here you’ll want to know about.

This week the annual Burtch…

The term “technical analysis” usually refers to the study of stock prices.  A technical analyst might use real-time or closing prices of stocks to predict future prices.  This is an interesting concept because of what is normally excluded from the analysis - namely, everything except prices.  Given that the approach doesn’t necessarily consider the health or profitability of the underlying companies, a purely technical approach seems to offer guidance that is disconnected from reality.  Yet…