Introduction to Machine Learning in Python with Keras and TensorFlow

This higher-level machine learning course introduces TensorFlow, a professional-level Machine Learning library implemented in Python, via the Keras API which simplifies mundane and time-consuming coding tasks. 

Suitability

This course is for Tech Analysts, S&T Analysts (optionally).

Learning Outcomes

By the end of this course, participants will be able to:

  • Install, deploy and write basic routines with TensorFlow, a professional-level Machine Learning library implemented in Python
  • Access more complex functionality via the Keras API which simplifies mundane and time-consuming coding tasks

Course Content

  • Introduction: What is a tensor?
  • Load TensorFlow and import into your programme
  • Make your dataset ready for Machine Learning: Preliminary analysis
  • Separate learning and validation datasets
  • Perform a simple regression
  • Validate your regression: What predictive power does it have?
  • Conclusions: How does it compare to a simple regression? Which is the better method? When, and why?

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We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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We are focused on mining the embedded organisational intellectual capital for the benefit of the next generation. We create and curate best in class practice gathered from our experience with the leading financial institutions. We design our programmes with the end in mind – what results are you trying to achieve with this intervention? What metrics will we set ourselves to achieve that?

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