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Hadoop 3: Comparison with Hadoop 2 and Spark

The release of Hadoop 3 in December 2017 marked the beginning of a new era for data science. The Hadoop framework is at the core of the entire Hadoop ecosystem, and various other libraries strongly depend on it. In this article, we will discuss the major changes in Hadoop 3 when compared to Hadoop 2. We will also explain the differences between Hadoop and Apache Spark, and advise how to choose the best tool for your particular task.

A Comparative Analysis of ChatBots APIs

The chatbot industry is expanding fast, yet the technologies are still young. Chatbots offer a new type of simple and friendly interface imperative for browsing information and receiving services. IT experts and industry giants agree that this technology will play a huge role in the future. In this article, we will discuss all kinds of instruments you can gear up with, how they are similar and at the same time different from each other, as well as their ups and downs. But first, let’s get into the deeper understanding of the chatbots and their topology.

Top 7 Data Science Use Cases in Healthcare

Medicine and healthcare is a revolutionary and promising industry for implementing the data science solutions. Data analytics is moving the medical science to a whole new level, from computerizing medical records to drug discovery and genetic disease exploration. And this is just the beginning. The following article discusses the use cases of data science with the highest impact and the most significant potential for future development in medicine and healthcare.

Top 9 Data Science Use Cases in Banking

Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to realize that big data technologies can help them focus their resources efficiently, make smarter decisions, and improve performance. Here is a list of data science use cases in banking area which we have combined to give you an idea how can you work with your big amounts of data and how to use it effectively.

Bitcoin price forecasting with deep learning algorithms

A Jupyter notebook with the forecasting algorithm made as an article to give the reader an ability to go step-by-step through the algorithm. This notebook demonstrates the prediction of the bitcoin price by the neural network model. We are using 2-layers long short term memory (LSTM) as well as Gated Recurrent Unit (GRU) architecture of the Recurrent neural network (RNN).