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 [...]
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 [...]
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, [...]
Webinar Description Clustering algorithms are widely used in the analysis of Enterprise Big Data sets. They are applied for customer segmentation, targeted marketing and inventory mapping. In order to cluster data, algorithms will determine similarities (or dissimilarities) between individual observations. In this webinar, we will provide an introductory overview of common clustering algorithms and the way [...]
Introduction The Enterprise Big Data certification scheme has been growing rapidly across the world, providing thought leadership and certification to Big Data professionals across the world. With more than 25 Accredited Training Organizations (ATOs) and corresponding number of certified trainers in different parts of the world, demand for knowledge in data analysis best practices has been [...]
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 [...]
