Unsupervised learning is a Machine Learning technique that can detect patterns and relationships in data without relying on a pre-existing pattern. Unlike supervised learning, which trains an algorithm based on labeled data, unsupervised learning works with unlabeled data that is not characterized by a specific category or objective. In this way, new insights can be gleaned from the data that may not be detected using other methods. In this blog post, you will learn about the potential applications for unsupervised learning and the challenges we currently face.
Machine Learning is undoubtedly one of the most exciting subfields of Artificial Intelligence. It performs the task of learning from data with specific inputs for the machine. It is important to understand how Machine Learning works and what types of it exist. Therefore, this blog post will shed light on how Machine Learning is fundamentally designed to create targeted value for users.
Artificial Intelligence (AI) has been around for quite some time. From quick suggestions in search engines and controlling auto-focus in smartphones to cruise control in vehicles, AI is becoming more and more a part of our daily lives. Below, we present the 10 most notable benefits of Artificial Intelligence.
The first and most commonly known application for Blockchain Technology is in cryptocurrencies. For example, the underlying software for Bitcoin was developed in 2008 against the backdrop of the financial crisis. The skeptical view of institutional intermediaries created the basis for the open-source principle of this type of Blockchain, as the transaction register should no longer require a central authority. After more than 13 years, crypto has been declared dead no fewer than 461 times. This year, not least because the price has plummeted from $50,000 to around $20,000. But just as Blockchain's only application is not in cryptocurrencies, this use case has only reached the end of its road due to price fluctuations. We therefore highlight some further opportunities for the technology here.
Big data and big data analytics have been buzzwords for many years. However, it still often happens that different terms are confused and the individual added value of Big Data is not clear to many organizations as a result. In our blog post, we will explain what Big Data is and what benefits it brings.
Some experts believe that Artificial Intelligence (AI) will one day be smarter than humans. So far, however, the systems present themselves as absolute insular talents. This means that they can only perform very specialized tasks really well. But they are often already better at these than humans. We would therefore like to conduct a small reality check in this article. This is intended to show what AI can already do and what it cannot.
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