Tech Analysts, S&T Analysts (optionally).
By the end of the course, participants will be able to:
• Describe three foundational ML techniques: Regression, clustering, classification • Explain the train/validate/test approach to dividing up datasets • Implement and validate a simple model in Python’s Scikit-Learn library • Discuss applications of ML in finance and potential obstacles
• What is Machine Learning? • Techniques: Regression, classification, clustering • Validating a Machine Learning process in Scikit-Learn • Applications in Finance – Machine Learning analyses that work… and some that haven’t • Caveats and pushbacks – will Machine Learning solve all analysis issues? Is it any better than simpler techniques on limited data? • Prequel to next course: Python’s TensorFlow library
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.
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?
Quality and innovation, using current market and industry best practices, have made us a trusted partner in delivering dynamic and motivating training for the financial and capital markets. Our programmes are generation proof and responsive to evolving learner needs and styles. Our solutions use a multi-stakeholder engagement strategy that expands beyond relationships between the learner and learning provider. We create connections with managers, peers and the wider business to drive impactful return on investment..
"*" indicates required fields
The team are so friendly and pleasant to work with, everyone is very professional and keen to help us. Building a relationship over the past couple of years helps us to feel like the Alpha team are even more able to understand our needs and provide more proactive solutions.
