20 Épisodes

  1. 20 Perceptron: Machine Learning Begins

    Publié: 15/03/2021

  2. 19 ICA: Independent Component Analysis

    Publié: 24/01/2021

  3. 18 PCA: Principal Component Analysis

    Publié: 10/01/2021

  4. 17 Anomaly Detection: Clustering

    Publié: 22/12/2020

  5. 16 Anomaly Detection: Control Charts

    Publié: 19/10/2020

  6. 15 Adaboost: Adaptive Boosting

    Publié: 28/09/2020

  7. 14 XGBoost: The Winner of Many Competitions

    Publié: 26/07/2020

  8. 13 Random Forest

    Publié: 12/07/2020

  9. 12 Decision Trees

    Publié: 31/05/2020

  10. 11 Inferential Statistics

    Publié: 10/05/2020

  11. 10 Logistic Regression

    Publié: 26/04/2020

  12. 09 Regularization to Deal with Overfitting

    Publié: 19/04/2020

  13. 08 Linear Regression: The Return of the Queen

    Publié: 04/04/2020

  14. 07 COVID-19

    Publié: 28/03/2020

  15. 06 How to Become a Data Scientist

    Publié: 15/03/2020

  16. 05 Machine Learning: Use Cases Part 2

    Publié: 08/03/2020

  17. 04 Machine Learning: Use Cases

    Publié: 23/02/2020

  18. 03 What is Machine Learning?

    Publié: 12/02/2020

  19. 02 My Personal Journey: How I Became a Data Scientist

    Publié: 02/02/2020

  20. 01 Introduction and Expectations

    Publié: 26/01/2020

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Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly manner. So, what are you waiting for? Grab a coffee and join us.

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