Top 10 concepts to understand when working with AI 

  1. Machine Learning: Understand different types of machine learning such as supervised, unsupervised, and reinforcement learning. It’s important to know how these algorithms learn from data to make predictions or decisions. 
  2. Neural Networks: Grasp the basics of neural networks, including how layers of neurons interact to process information. This includes understanding deep learning, which uses complex neural networks. 
  3. Data Handling: Learn how to preprocess, clean, and split data. Effective data management is key to training models accurately and efficiently. 
  4. Probability and Statistics: Fundamental concepts such as mean, median, standard deviation, and probability distributions are crucial for interpreting model results and making decisions. 
  5. Algorithm Design: Knowledge of how to choose, build, and optimise algorithms based on the problem you are solving. This includes understanding different optimisation techniques such as gradient descent. 
  6. Ethics and Fairness: Understand the ethical implications of AI, including bias, fairness, transparency, and accountability. This is vital to ensure the responsible use of AI technology. 
  7. Computational Thinking: Develop problem-solving skills, including how to break down complex problems into simpler parts, think algorithmically, and use abstraction effectively. 
  8. AI Interpretability and Explainability: Learn techniques to make AI decisions understandable to humans. This is especially important for applications in sensitive areas like healthcare or finance. 
  9. Natural Language Processing (NLP): Understand how machines interpret, process, and generate human language. This includes techniques for text analysis, sentiment analysis, and language generation. 
  10. AI Deployment and Scaling: Know how to deploy AI models effectively, including using cloud services and understanding scalability challenges. This also covers knowledge of frameworks and tools for deploying models into production.