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Advancing Big Data Best Practices

Past Events

Understanding Big Data Analysis – Learn the Big Data Analysis Process

In this webinar, we will guide you through the steps and phases that you will need to perform when executing Big Data analysis. If you aim to analyse data in a consistent, reproducible manner, following a structured approach an process is crucial for success. Because, in the end, it is important that other stakeholders understand the [...]

Free

Technical Aspects of Big Data – Becoming Familiar with Big Data Tools

In order to effectively analyse large quantities of data, you will need to use some tools and techniques that are common in the data science profession. In this webinar, we will provide you with an overview of the coding languages (R and Python), development frameworks (most notably Hadoop) and storage mechanisms (NoSQL) that are commonly used [...]

Free

Deep Dive in Classification Algorithms – Big Data Analysis

Classification techniques are widely used in enterprise organizations. From the limit of your credit card, to your mortgage amount, as well as the things you see online on your timeline on social media. You might not fully realize it (yet), but all these aspects are determined by classification algorithms. Classification algorithm determine, for a large extent, [...]

Free

Webinar: Big Data Algorithms in the Enterprise

Free Webinar: Thursday June 10th, 2021 | 09:00 AM London | 16:00 PM Singapore Machine learning continues to be a topic at the top of the agenda for enterprise organizations looking to get more accuracy from their analytic models. The machine learning field is a quite vast and is expanding quickly. It continually partitions into subcategories [...]

The K-Nearest Neighbour Classification Algorithm Explained

Virtual

Big Data Algorithms: The K-Nearest Neighbour Classification Algorithm Explained Free Webinar | Thursday, March 10th, 2022 | 10:00 AM Singapore   Webinar Description The K-Nearest Neighbour classification algorithm (abbreviated to k-NN) is one the most basic and frequently used algorithms for classification purposes. The k-NN classifier is used in databases in which variables (the columns) indicate [...]

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