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Natural language processing (NLP) is one of the most promising fields of artificial intelligence that uses natural languages to enable human interactions with machines. There are two main approaches to NLP: – rule-based methods, – statistical methods, i.e., methods related to machine learning. There are several exciting Python libraries for NLP, such as Natural Language Toolkit (NLTK), spaCy, TextBlob, etc. A chatbot is a computer software able to interact with humans using a natural language.

Image recognition is one of the most widespread machine learning classes of problems. It aims at training machines to recognize images similarly as people do. Image recognition belongs to the group of supervised learning problems, i.e., classification problems, to be more precise. This article presents a relatively simple approach of training a neural network to recognize digits. This approach uses an ordinary feedforward neural network. The accuracy of the model can be further improved using other techniques.

Artificial intelligence (AI) is everywhere around us: image recognition and contacts suggestions on Facebook or Twitter, self-driving cars, software that beats champions in chess and go, books recommendations on Amazon, Google search, Apple Siri and Microsoft Cortana, and so on. It became a very important aspect of our lives. Its importance raises, and we rely on AI more and more every day hoping that it’s going to improve our well-being.

Intro to what is functional programming Functional programming is an interesting programming concept which gains a lot of attention lately. This article presents some of the most important aspects of functional programming in general and provides several examples in Python. Functional programming is a kind of the declarative programming paradigm where functions represent relations among objects, like in mathematics. Thus, functions are much more than ordinary routines. This programming paradigm can be implemented in a variety of languages.

Frameworks are a very powerful tool in the development of modern web and mobile applications. Just think about sites and apps like Facebook, Netflix, and Instagram for example. It’s exactly frameworks that are responsible for their uninterrupted operation by providing and giving their users a complete experience. We can define a framework, most simply, as a large number of pre-built components which give developers the ability to expand and customize them depending on the application they make.

Intro to which programming language is the best for machine learning and AI Today we will talk about which programming language is the best for machine learning and AI. Machine learning (ML) as the sphere of Artificial intelligence (AI) is not a new concept in computer science. However, ML has been experiencing its expansion and popularity only in recent years since it has been possible to use big data. Just think about how many data is available to us today than ten years ago.

Intro to which programming language is the best to learn Today we will talk about which programming language is the best to learn. Programming is a profession of the present and the future. Each of us is familiar with that. So far, you had ideas or created applications and software that were useful to you and to the whole community. Think about apps like Facebook, Instagram, and Twitter. Then consider programs like Exel, Adobe Illustrator, and Photoshop.

Blockchain because is secure, fast and decentralized (not always, but in most cases yes) is technology which is coming to our world, business, life and enterprise really quick. Thousands of blockchain projects are in development or are developed and deployed to the internet. Companies are looking for new blockchain ideas or trying to improve what other companies created now like crazy, and this is just the beginning of how blockchain technology is running the world.

Short “Own cryptocurrency with POA” course info In the current course, we will have a few lessons with content about the geth network. Our content is divided for 5(with introduction) lessons, and all from lessons have few slides where you can learn how to create your cryptocurrency with Proof of Authority, will be good if you will do course step by step how the author added it to Duomly.

Short dApp course info In the current course, we will have a few lessons with content about dApp development, code, and some programming knowledge. Our content is divided for 8(with introduction) lessons, and all from lessons have few slides where you can learn how to build dApp with solidity and Angular6, will be good if you will do course step by step how creators added it to Duomly. Prerequisites You don’t need programming skills to finish my course, but of course is better if you have to understand the content better and use it in future.