Sorting Algorithms Explained

Relevant are algorithms sorting how?
In a sentence, word order is essential to convey the intended message. The same applies to programming: Having sorted datasets makes it possible to organize massive amounts of data while making it quickly searchable.

That’s why you often find sorting algorithms in the first pages of programming textbooks. In this article, we describe sorting algorithms, explain how they work, and illustrate how to choose the right sorting algorithm for your program.



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What is Natural Language Processing?

NLP word on blurring background, natural language processing cognitive computing technology concept

Each year, AI practitioners compete for the Loebner prize. This is an implementation of the Turing test where a computer‘s “humanness” is assessed by a panel of judges. The machine passes the test if it manages to convince the judges that it – and not its human competitor – is a real person. How does it do this? Simply by using language. Human-like conversation is but one of the many applications of Natural Language Processing, NLP for short.



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Best C++ IDEs

As a programmer, you’ve probably encountered some kind of an integrated development environment (IDE). Many IDEs work with multiple programming languages, while some are built for just one language, like C++.

In this article, we’ll look at the top IDEs for C++. But before we get started, let’s talk about what an IDE is in the first place.



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Machine Learning with Python Explained

What does it mean for a machine to learn? In a way, machines learn just like humans. They infer patterns from data through a combination of experience and instruction.

In this article, we will give you a sense of the applications for machine learning and explain why Python is a perfect choice for getting started.

We will discuss concepts central to machine learning and walk you through a simple example of a machine-learning algorithm in Python.



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Pytorch vs. TensorFlow: What You Need to Know

You may have read about some of the recent impressive advances in deep learning applications, and are now eager to build your own neural networks.

But which of the many libraries should you use? In this article, we present PyTorch and TensorFlow, the two most commonly used frameworks for deep learning.

Read on to find out which one offers the best conditions for you to realize your projects.



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Popular Python AI libraries

Python AI libraries have one job: To provide the benefits of AI algorithms and tooling without any of the complexities of their implementation. No developer wants to reinvent the wheel or delve into an array of statistics and data science books every time they want to build a chatbot or classify some data. This is where the copious number of AI libraries, written for Python, can make projects faster to build, more readable and more effective at achieving their goals using AI. Read on to find out more.



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