Upon completion of this short course attendees will be fully equipped with the knowledge and skills to manage the data lifecycle and turn raw data into actionable insights, setting the stage for advanced data analysis and AI applications.
In this introductory machine learning live training, you'll cover a range of topics including, defining machine learning, distinguishing supervised and unsupervised learning, covering basic concepts, exploring common algorithms (eg decision trees, neural networks), emphasizing model training and evaluation, discussing feature engineering, and addressing ethical considerations. Practical applications, tools, and hands-on exercises are included for a well-rounded understanding.
Upon completion, individuals will have a foundational understanding of machine learning and its capabilities and be well-positioned to take advantage of introductory-level hands-on training in machine learning and data science such as ODSC East’s Mini-Bootcamp.
Webinar includes
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ODSC East 2024 Bootcamp Primer: Introduction to Machine Learning
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Introduction to Machine Learning by Sheamus McGovern
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Session Slides - Introduction to Machine Learning
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Instructor
Sheamus McGovern
Software Engineer & AI Expert
Sheamus McGovern
Founder of ODSC and Software Architect specializing in, complex multi-platform systems across multiple industries including finance, healthcare, and education.
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