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Course Conclusion

Congratulations! You have finished the Advanced Machine Learning course!

Having completed this course, you should be able to:

  • Explain the steps of a typical data science problem, and perform those steps identified as falling under the responsibility of a machine learning specialist.

  • Perform a range of pre-processing steps, including feature engineering and management of missing data, as well as explain the utility and importance of such methods.

  • Apply a range of advanced machine learning techniques from all major areas of machine learning (supervised, unsupervised, semi-supervised and reinforcement learning) including tuning and regularizing these models.

  • Explain how these techniques work, including the relationship between more advanced methods and the simpler methods they are built upon.

  • Evaluate rigorously the performance of statistical models, and justify the selection of particular models for use.

  • Evaluate rigorously the sufficiency of and suitability of data for a given modelling task

There was a lot of advanced material in this course, and you should give it some time to sink in. Then determine areas that you have difficulty remembering or explaining and refresh yourself on the associated steps.

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Unlimited access to the course: Go at your own pace with unlimited access to the course for as long as it exists on FutureLearn.

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Goodbye and Good Luck

We would like to thank you for taking this course and hope that you enjoyed and benefited from it!

All the best in your future applications of advanced machine learning,

Mike Ashcroft

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This article is from the free online course:

Advanced Machine Learning

The Open University