Chatbots are a technology that allows you to automate interaction with users. Leveraging the latest artificial intelligence technologies, conversations turn out to be more and more real. Examples of chatbots evolution are virtual assistants like Alexa, Cortana and Siri. Let’s find out how you can develop a simple chatbot in Python using the Chatterbot library.
Developing classification models for unstructured data, such as images or text, is not an easy task. In many cases, very specific development skills are required. Let’s find out how it is possible, using AutoML Vision from Google Cloud, to create an image classification model without writing a line of code but only selecting images for our model.
Big Data is one of the most profound and pervasive evolutions of the digital world. A trend that is destined to remain and to profoundly affect our lives and the way we do business. Managing them requires very powerful computing infrastructures. The big giants of the Web, including Google, Amazon and Microsoft, provide their data centers and platforms to address the challenges offered by Big Data. Let’s find out about the computing power provided by Google Cloud through some case studies.
MongoDB is the most widely used NoSQL database in the world. Its continuous growth is due to the continuous development of new features. Version 5, released at the end of July 2021, introduced some very interesting new features. In this article we will analyze the most relevant and most useful in their daily use.
Analyzing data also requires graphing the data or the results from the analysis performed. Many libraries in Python provide useful tools for visualization, but the plots produced are static. The Pandas Bokeh library is a great alternative for creating interactive plots and including them in web projects. Let’s find out how to use it and the results we can achieve through some examples.