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Video course · 13 chapters · 622 min · certificate

AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science

An 11-hour AI foundations course: a 2024 ML roadmap, ML basics, bias-variance, overfitting and regularisation, linear regression for inference and prediction, the top 10 ML algorithms, a Superstore analytics project, a regression case study, an MLOps movie recommender, workshops on breaking into data science and building a startup, and ML interview prep.

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What you'll learn

  • Follow an ML learning roadmap
  • Explain core ML concepts and trade-offs
  • Use linear regression for inference and prediction
  • Know the top 10 ML algorithms
  • Complete analytics and MLOps projects
  • Prepare for ML interviews

Chapters

13 chapters · 622:26
  1. 49:53 01Roadmap Members Introduction and 2024 roadmap Comprehensive course.
  2. 15:17 02Basics Members ML basics Types of learning.
  3. 7:12 03Bias-variance Members Bias-variance trade-off Balance.
  4. 28:49 04Regularisation Members Overfitting and regularisation Control complexity.
  5. 7:04 05Linear Members Linear regression model Causal view.
  6. 16:26 06Prediction Members Linear regression for prediction Interview favourite.
  7. 105:47 07Algorithms Members Top 10 ML algorithms The essentials.
  8. 81:01 08Analytics Members Superstore data analytics project Customers and sales.
  9. 119:47 09Case study Members Linear regression case study Predictive and causal.
  10. 38:36 10MLOps Members MLOps: movie recommender Build a project.
  11. 69:46 11Careers Members Becoming a data scientist with no experience Workshop.
  12. 26:43 12Startup Members How to build a startup Workshop.
  13. 56:05 13Interviews Members ML interview prep Common questions.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Data AnalystsInsurance Data AnalystsBioinformaticiansData ScientistsSoftware DevelopersSystems AnalystsData EngineersResearch ScientistsSoftware EngineersStatisticiansComputer Science StudentsBusiness Intelligence Analysts