Async review

Instruction and application

In Progress

Recap core topics:

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Unit 3:

The Machine learning lifecycle and mathematical foundations

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Unit 4:

Emerging trends in machine learning and AI

Unit 3: The Machine learning lifecycle and mathematical foundations

In Unit 3, you explored:

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ML lifecycle:

Key stages with a focus on the mathematical principles behind model development, training and testing.

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ML and data science relationship:

How ML fits within the broader field of data science.

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Advanced mathematical concepts:

Optimisation theory, information theory and their role in modern ML algorithms.

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Evaluating ML solutions:

Using mathematical insights to assess and refine ML models for business applications.

Unit 4: Emerging trends in machine ;earning and AI

In Unit 4, you explored:

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Emerging trends in ML and AI:

Key advancements and their potential impact on industry practices.

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Innovative ML/AI solutions:

Applying new technologies to solve complex, data-intensive business challenges.

Action item: ML in business poll

Let’s do a quick business-focused poll! This will help us see how well we understand ML concepts in real-world applications. No pressure — just pick the best answer!

Your company wants to improve customer segmentation for personalised marketing. Which stage of the ML lifecycle is critical for ensuring the model uses the right customer data?

Model deploymentData preparationModel evaluationBusiness problem framing

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A financial institution wants to detect fraudulent transactions using ML. How does Data Science support this initiative?

Data Science defines the fraud problem and ML builds predictive models.Data Science handles customer support, while ML detects fraud.Data Science and ML are completely separate fields.ML models can run without any Data Science input.

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Your company wants to explore AI trends to stay competitive. Which emerging AI technology focuses on efficient and adaptable ML models?

Large Language Models (LLMs)Small Language Models (SLMs)Reinforcement LearningFederated Learning

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In progress