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Fast Track to Machine Learning with Louis Dorard

Jul 15 - 17, 2019 · London, United Kingdom

Are you ready to demystify Machine Learning and put it to work on real problems? Kick start your skills in this hands on workshop and learn the secrets of this powerful method for creating value from your data.

Join Louis Dorard for this Machine Learning course and gain the skills to integrate ML into your applications, using the best industry techniques.

In this workshop you'll gain an understanding of the possibilities and limitations of Machine Learning, and how to put it to work on real cases. You'll learn to prepare data, to create ML models, to evaluate them in your domain of application, to optimize them, and to deploy them. Adopt a top-down, results-first and experimentation-driven approach, and focus on practical techniques applied to concrete examples.

If you're interested in leveraging the power of machine learning to improve your applications, products or processes, then this course is for you!

Learn how to:

  • Understand the possibilities and limitations of Machine Learning
  • Build predictive models from data, with Decision Trees and Random Forests
  • Analyze models' behavior, errors, performance, and optimize their parameters
  • Transform text variables into useful numerical representations for ML
  • Package and deploy models to production with APIs
  • What the community says

    "He took a lot of effort to explain concepts when we had questions, and used a variety of different media which kept it interesting."

    Delegate on 25th Feb 2019

    About the Author

    Louis Dorard

    As an independent consultant and Machine Learning (ML) coach, Louis helps corporations and startups integrate ML into their products. He has held workshops at major companies such as Amazon, Deloitte, EDF, Intel, Konica Minolta, and he has coached smaller businesses and growing startups in their usage of ML. Louis holds a PhD in ML from University College London, and he has been working in the field for more than 10 years.

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