After participating in this course, you will be able to:
- Understand the core principles of machine learning, including its terminology and diverse applications in various industries.
- Differentiate between several machine learning techniques and identify the appropriate context for each method.
- Develop, train, and evaluate Neural Networks, gaining hands-on experience in building sophisticated models.
- Apply effective data processing techniques to prepare datasets for machine learning applications.
- Utilize two popular machine learning platforms to construct and deploy Artificial Neural Network models for real-world problems.
Description
Machine learning has become a critical tool for businesses to gain insights from data, make informed decisions, and drive innovation. Designed for managers and decision-makers, this course focuses on understanding the principles of machine learning and its practical applications in a business context. Participants will gain a solid foundation in machine learning concepts, learn how to leverage machine learning for business problems and explore real-world case studies. The curriculum provides a comprehensive introduction, ensuring that even those without a technical background can grasp the fundamental concepts and applications of machine learning.
Understanding machine learning is essential for anyone looking to stay competitive in today's data-driven world. By participating, you will learn the importance of machine learning in transforming raw data into actionable insights and the various techniques used to implement machine learning solutions. This knowledge empowers you to make informed decisions, optimize business processes, and drive innovation within your organization.
Throughout this course, you will explore various machine-learning techniques, understand neural networks, and get hands-on experience with popular machine-learning platforms. The curriculum is structured to build your confidence and competence in applying machine learning to real-world scenarios, making you an asset to your organization. No specific technical background or programming knowledge is required to participate. However, a basic understanding of data analytics concepts and familiarity with business processes will be beneficial.
Who Should Attend
This course is ideal for professionals eager to integrate machine learning into their business strategies. Titles of potential attendees include business analysts, data analysts, project managers, marketing managers, product managers, operations managers, IT professionals, and executives. It is also suitable for students aspiring to enter the field of data science, business analysts looking to enhance their data analytics skills, and individuals curious about the transformative power of machine learning.
The course caters to beginners with no prior experience in the field as well as those with some knowledge looking to expand their understanding and practical skills. It is valuable for IT professionals aiming to transition into roles focused on data and machine learning.
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COURSE CREDIT
Almost all of EPIC's courses offer :
- Continuing Education Units (CEUs) and
- Professional Development Hours (PDHs)
These course credits will help attendees earn training requirements for their associations or provincial governing bodies.
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