Subject – Machine Learning and Artificial Intelligence in Process Mining
Industry – Process Mining
Introduction:
Welcome to the eLearning course on “Machine Learning Models for Process Prediction” offered by T24Global Company. This course is specifically designed for students pursuing their M.Tech in Process Mining. In this course, we will explore the application of machine learning models in the field of process prediction, providing you with the necessary knowledge and skills to excel in this emerging field.
Process mining is a discipline that aims to discover, monitor, and improve real processes by extracting knowledge from event logs. It involves the analysis of event data recorded by information systems during the execution of various processes. M.Tech in Process Mining is a specialized program that equips students with the ability to analyze and optimize business processes using data-driven techniques.
Machine learning, on the other hand, is a subfield of artificial intelligence that focuses on the development of algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. Machine learning has found widespread applications in various domains, including process mining, where it can be used to predict future process behavior based on historical data.
This eLearning course will provide you with a comprehensive understanding of machine learning models and their application in process prediction. We will begin by introducing the fundamental concepts of machine learning, including supervised and unsupervised learning, classification, regression, and clustering. You will learn about different types of machine learning algorithms and their strengths and limitations.
Next, we will delve into the specific techniques and algorithms used in process prediction. You will explore how to preprocess event logs, extract relevant features, and transform data into a suitable format for machine learning models. We will cover popular machine learning algorithms such as decision trees, random forests, support vector machines, and neural networks, and discuss their suitability for process prediction tasks.
Throughout the course, you will have the opportunity to apply your knowledge and skills through hands-on exercises and practical assignments. You will work with real-world datasets and use popular machine learning libraries and tools to build and evaluate predictive models. By the end of the course, you will have a solid understanding of machine learning models for process prediction and be able to apply them to real-world process mining problems.
We are excited to have you on this learning journey and look forward to helping you develop the necessary skills to excel in the field of process mining. Let’s get started!
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/machine-learning-models-for-process-prediction/ (copy URL)
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Lessons Included