• Machine learning is AI, not all AI is machine learning.

    Machine learning is AI, not all AI is machine learning.

    Artificial Intelligence

    Programs with the ability to learn and reason like humans

     

    Machine Learning

    Algorithms and large language models (LLM's) with the ability to learn without being explicitly programmed

     

    Deep Learning

    A subset of machine learning in which artificial neural networks learn from large datasets

     

    Data Science

    A cross disciplinary field that seeks to extract value from data

  • 3 Types of Machine Learning 

    Machine learning (ML) is a specialized technology that falls under the umbrella of artificial intelligence (AI)

    Supervised

    • Uses labeled data to train an algorithm
    • The algorithm predicts based on input and is corrected if wrong. Over time, the model improves its accuracy
    • It is commonly used for tasks like image recognition and medical diagnosis

    Reinforcement

    • AI learns by interacting with its environment
    • AI takes actions and receives rewards or penalties, using them to improve strategies gradually
    • It's like learning through trial and error to maximize rewards. This method is commonly used in robotics, gaming, and navigation systems

    Unsupervised

    • Unlabeled dataset used to train an AI. Goal is to uncover hidden patterns or structures in the data
    • AI categorizes data by similarities, differences, and patterns using clustering and association learning
    • Clustering organizes objects based on similarities or differences. Association discovers relationships between variables in a dataset

  • Machine Learning Questions

    Please give our product management team more time to answer AI technology questions as they are currently prioritizing work for members. We enjoy collaborating and having strategic discussions.

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