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X-WR-CALNAME:Enterprise Big Data Framework
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X-WR-CALDESC:Events for Enterprise Big Data Framework
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DTSTART;TZID=Europe/Amsterdam:20210610T100000
DTEND;TZID=Europe/Amsterdam:20210610T110000
DTSTAMP:20260730T210748
CREATED:20210514T054605Z
LAST-MODIFIED:20210514T054605Z
UID:13971-1623319200-1623322800@www.bigdataframework.org
SUMMARY:Webinar: Big Data Algorithms in the Enterprise
DESCRIPTION:Free Webinar: Thursday June 10th\, 2021 | 09:00 AM London | 16:00 PM Singapore\nMachine 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 and different types of machine learning. ML is an important aspect of modern business and research. By using algorithms and neural network models\, it can assist computer programs in progressively improving their performance with minimal human intervention. \nIn this this webinar\, Jan-Willem Middelburg – author of the Enterprise Big Data Framework –  delves into the world of machine learning and provides an overview of machine learning\, as well as key business applications of this technique\, including fraud detection\, model factories and recommendation systems. \nIn this webinar you’ll will gain a better understanding of the following topics: \n\nWhat is machine learning?\nThe power of machine learning\nThe different forms of data\nWhat is a model?\nDifference between supervised and unsupervised learning\nDifferent types of supervised and unsupervised learning tasks\nDifference between parametric and non-parametric models\nThe Enterprise Big Data Framework and Machine Learning\n\nDon’t miss this chance to learn more about Machine Learning algorithms\, and join the webinar free of charge. \nRegistration\nYou can join this webinar by completing the following form below:
URL:https://www.bigdataframework.org/event/webinar-big-data-algorithms-in-the-enterprise/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2021/05/Overview-of-Machine-Learning-Algorithms-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210330T100000
DTEND;TZID=Europe/Amsterdam:20210330T110000
DTSTAMP:20260730T210748
CREATED:20210315T083658Z
LAST-MODIFIED:20210324T084500Z
UID:13849-1617098400-1617102000@www.bigdataframework.org
SUMMARY:Enterprise Big Data Analyst Trainer Briefing
DESCRIPTION:Introduction\nThe 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 quickly increasing. And for that reason\, we are aiming to expand the Big Data Analyst Trainer network. \nIn May 2020\, the second level of the Enterprise Big Data certification scheme was launched – the Enterprise Big Data Analyst level. The Enterprise Big Data Analyst focuses on obtaining in-depth knowledge about data analysis techniques in order to retrieve value from data. Besides the best practices in designing and executing a data analysis process\, the Enterprise Big Data Analyst certification teaches participants the most fundamental data analysis and machine learning algorithms. In the EBDA course\, participants will learn about Classification\, Clustering and Outlier detection algorithms in the popular programming languages R and Python. Participants will need to learn how the algorithm works and apply it to a practical situation in the enterprise. \nCall for Enterprise Big Data Analyst Trainers\nBecause of the rapid growth of the framework\, the Enterprise Big Data Framework Alliance is looking to grow its network of accredited Big Enterprise Data Analyst trainers. We therefore organizing a Big Data Analyst Trainer Briefing Session on March 3oth\, 20121. During this briefing session\, we will explain the structure of the course\, and how you can use the online resources to successfully teach students the Enterprise Big Data Analyst program. \nParticipants to the Big Data Analyst Trainer Briefing will receive the following: \n\nFree Enterprise Big Data Analyst Trainer Self-Study Kit\n\nParticipation to this Big Data Analyst Trainer Briefing session is limited to 25 registrations. \nTarget Audience for the Enterprise Big Data Analyst Trainer Briefing session\nDuring the session\, we will provide an in-depth review of the course materials of the Enterprise Big Data Analyst Level. \nThis briefing session is therefore most beneficial for: \n\nParticipants who aspire to be trainers for the Enterprise Big Data Framework\nParticipants who have completed the Enterprise Big Data Professional certification.\n\nRegistration \nPlease use this link to register for this Big Data Analyst Trainer session:
URL:https://www.bigdataframework.org/event/enterprise-big-data-analyst-trainer-briefing/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.bigdataframework.org/wp-content/uploads/2021/03/big-data-analyst-trainer-briefing-session-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210225T100000
DTEND;TZID=Europe/Amsterdam:20210225T110000
DTSTAMP:20260730T210748
CREATED:20210210T121818Z
LAST-MODIFIED:20210210T121818Z
UID:13729-1614247200-1614250800@www.bigdataframework.org
SUMMARY:Free Webinar - An Introduction to Clustering Algorithms
DESCRIPTION:Webinar Description\nClustering 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 they are used in practice. \nClustering is the process of putting similar data into groups. A clustering algorithm partitions the observations in a data set into several groups in such a way that the similarity (in terms of variables) within a group is larger than between the different groups. Finding these partitions of data sets can have significant value for Enterprise organizations by enhancing their decision-making process. \nThere are a variety of different clustering techniques and corresponding algorithms. In this introductory webinar about clustering algorithms\, we will consider some of the most popular examples. Most notably\, we will consider the K-Means algorithm and Hierarchical clustering. We will discuss the (mathematical) process and underlying theory of these clustering algorithms\, and subsequently illustrate them in the R or Python languages. \nThis webinar will provide you with an introductory overview if clustering algorithms\, explained by Jan-Willem Middelburg\, the lead author of the Enterprise Big Data Framework. Even if you don’t have any background in data analysis or data science\, you will be able to participate in this webinar. All the examples have been prepared online\, so you can practice with the materials during and after the webinar. Additionally\, all registered participants will receive access to the webinar presentation and relevant data analysis files. \nDon’t miss this chance to learn more about clustering algorithms\, and register through the form below. \nRegistration\n[wpforms id=”13726″]
URL:https://www.bigdataframework.org/event/free-webinar-an-introduction-to-clustering-algorithms/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.bigdataframework.org/wp-content/uploads/2021/02/webinar-clustering-algorithms-scaled.jpg
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20201210T100000
DTEND;TZID=Europe/Amsterdam:20201210T110000
DTSTAMP:20260730T210748
CREATED:20200423T054048Z
LAST-MODIFIED:20201020T062506Z
UID:13403-1607594400-1607598000@www.bigdataframework.org
SUMMARY:Deep Dive in Classification Algorithms – Big Data Analysis
DESCRIPTION: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\, the content we see\, the information that is presented to us\, and the decisions we make. But have you ever wondered how these classification algorithms work? \nIn this webinar\, we will present you with a fundamental understanding of classification algorithms. We will discuss how they work\, which parameters you need\, and what the differences are between different classification algorithms. In the second part of the webinar\, we will discuss one of the most widely used (in terms of application) classification algorithms: the K-Nearest Neighbour Classification (k-NN) algorithm. We will showcase how it works\, how it helps solve problem\, and provide a demonstration in R. After this webinar\, you will have the fundamental knowledge to start building classification algorithms by yourself.
URL:https://www.bigdataframework.org/event/deep-dive-in-classification-algorithms-big-data-analysis/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20200918T110000
DTEND;TZID=Europe/Amsterdam:20200918T120000
DTSTAMP:20260730T210748
CREATED:20200423T053916Z
LAST-MODIFIED:20200423T053916Z
UID:13401-1600426800-1600430400@www.bigdataframework.org
SUMMARY:Technical Aspects of Big Data – Becoming Familiar with Big Data Tools
DESCRIPTION: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 in Big Data\, and of which every Big Data Professional should have a basic understanding. \nThis webinar is primarily intended for delegates who aspire a career in data analysis and data science\, and are looking for some practical guidance on where to start. Which technologies and languages are useful to learn\, and what are some good ways to get started on your journey. In this webinar\, Jan-Willem Middelburg\, author of the Enterprise Big Data Framework\, will share his experience in becoming a data scientist\, and the steps he took to master the profession
URL:https://www.bigdataframework.org/event/technical-aspects-of-big-data-becoming-familiar-with-big-data-tools/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20200521T110000
DTEND;TZID=Europe/Amsterdam:20200521T120000
DTSTAMP:20260730T210748
CREATED:20200423T052915Z
LAST-MODIFIED:20200423T052946Z
UID:13396-1590058800-1590062400@www.bigdataframework.org
SUMMARY:Understanding Big Data Analysis – Learn the Big Data Analysis Process
DESCRIPTION: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 required steps that lead to a result. \nWe will present this webinar based on the Enterprise Big Data Analyst process model. We will start with understanding the business objective\, and how data can be ingested through databases\, common data structure or the web. We will subsequently discuss data cleaning and data wrangling techniques\, before we move to model building. In the final part of this webinar\, we will discuss the presentation of reproducible research\, and how you can present data in an effective and understandable way.
URL:https://www.bigdataframework.org/event/understanding-big-data-analysis-learn-the-big-data-analysis-process/
CATEGORIES:Webinar
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