{ "id": 245334, "title": "Ideas and reads on Machine Learning + Baseball", "url": "/competitions/mlb-player-digital-engagement-forecasting/discussion/245334", "author_name": "", "post_date": "2021-06-10T15:58:20.263556800Z", "votes": 19, "comment_count": 4, "views": 0, "content": "

I will be maintaining the entire thread for the duration of competitions. Anything that is worth a read on how data sciences and machine learning are helping understand the game will be added to the list. Feel free to suggest if you find something missing

\n

Good reads

\n
    \n
  1. Analyzing the Game of Baseball on GCP
    2. \n
  2. Teaching Machines to Understand Baseball Games: Large Scale Baseball Video Database for Multiple Video Understanding Tasks
    3. \n
  3. Machine Learning in Baseball
    4. \n
  4. Modeling Swing Probability
    5. \n
  5. Machine Learning Baseball Project
    6. \n
  6. Wharton Edu | Forecasting Outcomes of Major League Baseball Games Using Machine Learning
    7. \n
  7. UGA Edu | Baseball Prediction Using Ensemble Learning
    8. \n
  8. VRIJE | Predicting the outcomes of MLB games with amachine learning approach
    9. \n
\n

Resources with code

\n
    \n
  1. Predicting-MLB-Games-with-Machine-Learning
    2. \n
  2. Machine-Learning-Baseball
    3. \n
  3. Psychology of a Professional Athlete | by @selfishgene
    4. \n
\n

Community

\n
    \n
  1. Youth Baseball and Data Analytics
    2. \n
  2. Merrimack.edu : The Latest Data Analytics Tools in Baseball
    3. \n
  3. Advancing to Prescriptive\nAnalytics in the Major League Baseball Front Office
    4. \n
\n

Thanks cc @bmanikan

", "messages": [ { "id": "1344092", "postDate": "06/10/2021 15:58:20", "content": "

I will be maintaining the entire thread for the duration of competitions. Anything that is worth a read on how data sciences and machine learning are helping understand the game will be added to the list. Feel free to suggest if you find something missing

\n

Good reads

\n
    \n
  1. Analyzing the Game of Baseball on GCP
    2. \n
  2. Teaching Machines to Understand Baseball Games: Large Scale Baseball Video Database for Multiple Video Understanding Tasks
    3. \n
  3. Machine Learning in Baseball
    4. \n
  4. Modeling Swing Probability
    5. \n
  5. Machine Learning Baseball Project
    6. \n
  6. Wharton Edu | Forecasting Outcomes of Major League Baseball Games Using Machine Learning
    7. \n
  7. UGA Edu | Baseball Prediction Using Ensemble Learning
    8. \n
  8. VRIJE | Predicting the outcomes of MLB games with amachine learning approach
    9. \n
\n

Resources with code

\n
    \n
  1. Predicting-MLB-Games-with-Machine-Learning
    2. \n
  2. Machine-Learning-Baseball
    3. \n
  3. Psychology of a Professional Athlete | by @selfishgene
    4. \n
\n

Community

\n
    \n
  1. Youth Baseball and Data Analytics
    2. \n
  2. Merrimack.edu : The Latest Data Analytics Tools in Baseball
    3. \n
  3. Advancing to Prescriptive\nAnalytics in the Major League Baseball Front Office
    4. \n
\n

Thanks cc @bmanikan

", "rawMarkdown": "I will be maintaining the entire thread for the duration of competitions. Anything that is worth a read on how data sciences and machine learning are helping understand the game will be added to the list. Feel free to suggest if you find something missing\n\n\n### Good reads\n\n1. [Analyzing the Game of Baseball on GCP](https://medium.com/baseballongcp/analyzing-the-game-of-baseball-on-gcp-52cd0fb3abb2)\n2. [Teaching Machines to Understand Baseball Games: Large Scale Baseball Video Database for Multiple Video Understanding Tasks](https://sites.google.com/site/eccv2018bbdb/)\n3. [Machine Learning in Baseball](https://towardsdatascience.com/machine-learning-in-baseball-bbe91af05db7)\n4. [Modeling Swing Probability](https://towardsdatascience.com/modeling-swing-probability-b02b5ab7fbb5)\n5. [Machine Learning Baseball Project](https://towardsdatascience.com/modeling-swing-probability-b02b5ab7fbb5)\n6. [Wharton Edu | Forecasting Outcomes of Major League Baseball Games Using Machine Learning](https://fisher.wharton.upenn.edu/wp-content/uploads/2020/09/Thesis_Andrew-Cui.pdf)\n7. [UGA Edu | Baseball Prediction Using Ensemble Learning](https://www.ai.uga.edu/sites/default/files/inline-files/lyle_arlo.pdf)\n8. [VRIJE | Predicting the outcomes of MLB games with amachine learning approach](https://science.vu.nl/en/Images/werkstuk-elfrink_tcm296-888205.pdf)\n\n\n#### Resources with code\n1. [Predicting-MLB-Games-with-Machine-Learning](https://github.com/kylejohnson363/Predicting-MLB-Games-with-Machine-Learning)\n2. [Machine-Learning-Baseball](https://github.com/Claessens14/Machine-Learning-Baseball-Project)\n3. [Psychology of a Professional Athlete](https://www.kaggle.com/selfishgene/psychology-of-a-professional-athlete) | by @selfishgene \n\n### Community \n1. [Youth Baseball and Data Analytics](https://journals.sagepub.com/doi/10.1177/2167479518818185)\n2. [Merrimack.edu : The Latest Data Analytics Tools in Baseball](https://onlinedsa.merrimack.edu/latest-data-analytics-tools-baseball/)\n3. [Advancing to Prescriptive\nAnalytics in the Major League Baseball Front Office](https://pubsonline.informs.org/doi/pdf/10.1287/ited.2018.0201ca)\n\nThanks cc @bmanikan", "votes": null }, { "id": "1344387", "postDate": "06/10/2021 21:59:08", "content": "

Thanks for compiling this list. As an avid baseball fan, I find this very interesting!

", "rawMarkdown": "Thanks for compiling this list. As an avid baseball fan, I find this very interesting!", "votes": null }, { "id": "1346035", "postDate": "06/12/2021 04:08:11", "content": "

Some of reads that I saw to be beneficial,

\n", "rawMarkdown": "Some of reads that I saw to be beneficial,\n- [Youth Baseball and Data Analytics:](https://journals.sagepub.com/doi/10.1177/2167479518818185)\n- [The Latest Data Analytics Tools in Baseball](https://onlinedsa.merrimack.edu/latest-data-analytics-tools-baseball/)\n- [Advancing to\nPrescriptive Analytics in the Major League Baseball Front\nOffice](https://pubsonline.informs.org/doi/pdf/10.1287/ited.2018.0201ca)", "votes": null }, { "id": "1354572", "postDate": "06/17/2021 17:08:00", "content": "

Great list. The Wharton document is a good find!

", "rawMarkdown": "Great list. The Wharton document is a good find!", "votes": null }, { "id": "1359488", "postDate": "06/21/2021 10:19:42", "content": "

Added to the thread above. Thanks!

", "rawMarkdown": "Added to the thread above. Thanks!", "votes": null } ], "comments": [ { "id": 1344387, "author_name": "bryanmariscal", "author_url": "", "post_date": "06/10/2021 21:59:08", "content": "

Thanks for compiling this list. As an avid baseball fan, I find this very interesting!

", "votes": null, "replies": [] }, { "id": 1346035, "author_name": "bmanikan", "author_url": "", "post_date": "06/12/2021 04:08:11", "content": "

Some of reads that I saw to be beneficial,

\n", "votes": null, "replies": [ { "id": 1359488, "author_name": "shaz13", "author_url": "", "post_date": "06/21/2021 10:19:42", "content": "

Added to the thread above. Thanks!

", "votes": null, "replies": [] } ] }, { "id": 1354572, "author_name": "crained", "author_url": "", "post_date": "06/17/2021 17:08:00", "content": "

Great list. The Wharton document is a good find!

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1344092": "I will be maintaining the entire thread for the duration of competitions. Anything that is worth a read on how data sciences and machine learning are helping understand the game will be added to the list. Feel free to suggest if you find something missing\n\n\n### Good reads\n\n1. [Analyzing the Game of Baseball on GCP](https://medium.com/baseballongcp/analyzing-the-game-of-baseball-on-gcp-52cd0fb3abb2)\n2. [Teaching Machines to Understand Baseball Games: Large Scale Baseball Video Database for Multiple Video Understanding Tasks](https://sites.google.com/site/eccv2018bbdb/)\n3. [Machine Learning in Baseball](https://towardsdatascience.com/machine-learning-in-baseball-bbe91af05db7)\n4. [Modeling Swing Probability](https://towardsdatascience.com/modeling-swing-probability-b02b5ab7fbb5)\n5. [Machine Learning Baseball Project](https://towardsdatascience.com/modeling-swing-probability-b02b5ab7fbb5)\n6. [Wharton Edu | Forecasting Outcomes of Major League Baseball Games Using Machine Learning](https://fisher.wharton.upenn.edu/wp-content/uploads/2020/09/Thesis_Andrew-Cui.pdf)\n7. [UGA Edu | Baseball Prediction Using Ensemble Learning](https://www.ai.uga.edu/sites/default/files/inline-files/lyle_arlo.pdf)\n8. [VRIJE | Predicting the outcomes of MLB games with amachine learning approach](https://science.vu.nl/en/Images/werkstuk-elfrink_tcm296-888205.pdf)\n\n\n#### Resources with code\n1. [Predicting-MLB-Games-with-Machine-Learning](https://github.com/kylejohnson363/Predicting-MLB-Games-with-Machine-Learning)\n2. [Machine-Learning-Baseball](https://github.com/Claessens14/Machine-Learning-Baseball-Project)\n3. [Psychology of a Professional Athlete](https://www.kaggle.com/selfishgene/psychology-of-a-professional-athlete) | by @selfishgene \n\n### Community \n1. [Youth Baseball and Data Analytics](https://journals.sagepub.com/doi/10.1177/2167479518818185)\n2. [Merrimack.edu : The Latest Data Analytics Tools in Baseball](https://onlinedsa.merrimack.edu/latest-data-analytics-tools-baseball/)\n3. [Advancing to Prescriptive\nAnalytics in the Major League Baseball Front Office](https://pubsonline.informs.org/doi/pdf/10.1287/ited.2018.0201ca)\n\nThanks cc @bmanikan", "1344387": "Thanks for compiling this list. As an avid baseball fan, I find this very interesting!", "1346035": "Some of reads that I saw to be beneficial,\n- [Youth Baseball and Data Analytics:](https://journals.sagepub.com/doi/10.1177/2167479518818185)\n- [The Latest Data Analytics Tools in Baseball](https://onlinedsa.merrimack.edu/latest-data-analytics-tools-baseball/)\n- [Advancing to\nPrescriptive Analytics in the Major League Baseball Front\nOffice](https://pubsonline.informs.org/doi/pdf/10.1287/ited.2018.0201ca)", "1354572": "Great list. The Wharton document is a good find!", "1359488": "Added to the thread above. Thanks!" }, "source": "meta" }