If you use a smartphone, chances are you have used Machine Learning and didn't even know it. ML is not just a fancy buzzword being thrown around but has true practical applications. In this episode, I breakdown Machine Learning, what it is, algorithms used, and in-place use cases.

Sources:

  • Business Wire: https://www.businesswire.com/news/home/20210104005330/en/Machine-Learning-Market-to-Grow-by-USD-11.16-Billion-During-2020-2024-Alibaba-Group-Holding-Ltd.-and-Alphabet-Inc.-Emerge-as-Key-Contributors-to-Market-Growth-Technavio
  • IBM: https://www.ibm.com/cloud/learn/machine-learning
  • HBR: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
  • Springboard: https://www.springboard.com/blog/lp-machine-learning-unsupervised-learning-supervised-learning/
  • Towards Data Science: https://towardsdatascience.com/5-types-of-machine-learning-algorithms-you-need-to-know-5ac7fce8920d
  • Carnegie Mellon: http://www.cs.cmu.edu/~tom/pubs/MachineLearning.pdf
  • Google AI Platform: https://cloud.google.com/ai-platform
  • Amazone SageMaker: https://aws.amazon.com/sagemaker/
  • Microsoft Azure Machine Learning Studio: https://azure.microsoft.com/
  • IBM Watson: https://www.ibm.com/watson
  • CIO: https://www.cio.com/article/3571171/3-use-cases-for-machine-learning-you-probably-havent-thought-of.html

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