NBA Injury Prediction
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The document discusses an attempt to predict NBA player injuries using statistical modeling. It collected player statistics over a three-week period to predict the likelihood of injury in the next three games. The model was able to predict injuries with an AUC score of 0.549. Important predictive features included a player's running speed, distance ran, and hustle statistics like charges drawn and balls recovered, which may indicate increased injury risk. The author proposes further improving the model by investigating additional hustle stats.
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Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage. Getting into the tech field. what next 
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- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.Google's Just Not That Into You: Understanding Core Updates & Search Intent
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3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.How to have difficult conversations 
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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
Learn how to use ChatGPT to add AI power to your testing and test automation
Understand the limitations of the technology and where human expertise is crucial
Gain insight into different AI-based tools
Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.NBA Injury Prediction
- 1. NBA Injury Prediction Peter Wen petwen1027@gmail.com github.com/rayal34/Predicting_NBA_Injuries
- 2. MOTIVATION Warriors offensive rating with Steph Curry: 119.1 Warriors offensive rating without Steph Curry: 105.3 105.3 = not good!
- 3. MOTIVATION Increased awareness of player health.
- 4. PROCESS Collected data by web scraping. Data
- 5. PROCESS Used a three week aggregation moving window. Predict if an injury will occur in the next 3 games Aggregate box score statistics in the three weeks leading up to the prediction Time
- 7. INSIGHTS Important features to the model.
- 8. INSIGHTS Important features to the model.
- 9. INSIGHTS Important features to the model.
- 10. INSIGHTS Speed: slower running speed might signal an injury. Distance: greater distance ran might also signal an injury.
- 11. FUTURE WORK Investigate hustle stats. Ex: charges drawn, loose balls recovered. Diving head-first into the stands = higher injury risk!
- 12. Thank you! Any questions? Peter Wen petwen1027@gmail.com github.com/rayal34/Predicting_NBA_Injuries