Athlete Monitoring Data Analysis and Visualization – Introduction: Lesson 2

Athlete Monitoring: Data Analysis and Visualization

Introduction – Part 2

In the second video, I am providing a basic overview of the three tasks of the statistical analysis, three types of machine learning, and finally, how we can use athlete monitoring – or in other words, for what problems that we have. Besides bmbstats book, I also suggest checking the books below.

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References

Papers & Posts

  1. Jovanovic, M. (2017). UNCERTAINTY, HEURISTICS AND INJURY PREDICTION. Aspetar Journal. Link
  2. Jovanovic, M. (2018). Predicting non-contact hamstring injuries by using training load data and machine learning models. Link
  3. Jovanovic, M. (2018). Data Preparation for Injury Prediction. SPSR – 2018, Aug, 34, v1. Link

Books

  1. Jovanović, M. bmbstats: Bootstrap Magnitude-based Statistics for Sports Scientists. Mladen Jovanović, 2020.
  2. Foreman, JW. Data smart: using data science to transform information into insight. Hoboken, New Jersey: John Wiley & Sons, 2014.
  3. Spiegelhalter, D. The art of statistics: how to learn from data. New York: Basic Books, an imprint of Perseus Books, a subsidiary of Hachette Book Group, 2019.
  4. Gelman, A, Hill, J, and Vehtari, A. Regression and Other Stories. S.l.: Cambridge University Press, 2020.
  5. McElreath, R. Statistical rethinking: a Bayesian course with examples in R and Stan. 2nd ed. Boca Raton: Taylor and Francis, CRC Press, 2020.
  6. James, G, Witten, D, Hastie, T, and Tibshirani, R. An Introduction to Statistical Learning: with Applications in R. 1st ed. 2013, Corr. 7th printing 2017 edition. New York: Springer, 2017.
  7. Kuhn, M and Johnson, K. Applied Predictive Modeling. 1st ed. 2013, Corr. 2nd printing 2016 edition. New York: Springer, 2018.

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I am a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which I consider my home town). I was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Read More »
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