Machine learning is crucial for modern data science tools and applications. It enables the development of models that can automatically learn from data, uncover patterns, and make predictions or decisions. It also enhances the ability to extract insights and drive informed decision-making from complex datasets.
By learning to leverage machine learning techniques, current and aspiring data scientists can unlock the potential hidden within data and gain valuable insights that can drive innovation, efficiency, and competitive advantage.
Join this free workshop on August 21 from 12 - 1 p.m. ET, hosted in partnership with the University of Toronto School of Continuing Studies, and discover the essential functions of machine learning for data science.
What you will learn:
- Understand the basics of machine learning, including how it can be leveraged for data science tools and techniques.
- Explore different types of machine learning models and how they are used.
- Discover how to choose between unsupervised and supervised modelling.
- Receive a free machine learning demonstration in Python.
You will also hear about WatSPEED's Data Science certificate and better understand how the program integrates modern machine learning tools and techniques into your learning experience.
Meet your workshop hosts
Larry Simon, Data Science Certificate Lead
Larry Simon is an entrepreneur, management consultant, and angel investor, specializing in IT strategy and data analytics. He is the founder and managing director of Inflection Group and has over 30 years of experience advising startups, global corporations, and government institutions.
Larry was previously a partner with Ernst & Young Consulting, their CTO and national director of their strategy and delivery centres. Larry is the lead for the Data Science certificate program, which is offered in partnership with the University of Toronto School of Continuing Studies.
Delina Ivanova, Director of Analytics, Mistplay
With over 12 years of experience in data and analytics, Delina Ivanova has expertise as both an individual contributor and leader across multiple industries, including tech, CPG, banking, and consulting. Her domains of expertise span marketing, product management, supply chain, and operations. Currently, Delina is the director of analytics at Mistplay, having previously served as associate director of data & analytics at HelloFresh.
Delina is also passionate about sharing her knowledge, and currently teaches data science and machine learning at WatSPEED at the University of Waterloo, Schulich School of Business, and the University of Toronto School of Continuing Studies.
