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Using Machine Learning to Predict Fitbit Sleep Scores | by Jonas Benner | Aug, 2020 | Medium | Towards Data Science
DeepTraffic is a deep reinforcement learning competition. The goal is to create a neural network to drive a vehicle… | Deep learning, Data science, Machine learning
Comparison chart between the machine learning predictor (using Fitbit... | Download Scientific Diagram
Why 2017 is Fitbit's year of machine learning - The Signal
How To Obtain And Analyse Fitbit Sleep Scores | by Jonas Benner | Aug, 2020 | Medium | Towards Data Science
When Counting Steps and Tracking Sleep Is Just The Beginning – What's Next for Fitbit? - Technology and Operations Management
Explainable sleep quality evaluation model using machine learning approach | Semantic Scholar
MIT's PAL Is Like a Supercharged Fitbit, and Could Even Help with Your Memory - Hackster.io
New Fitbit Features Deliver Data Previously Only Available Through a Sleep Lab
Fitbit: Will Machine Learning Help Fitbit Change Consumer Health and Regain Leadership in Tech Wearables? - Technology and Operations Management
Amazon Machine Learning to Recommend Best Workout Time - Hackster.io
How I analyzed the data from my FitBit to improve my overall health
Why 2017 is Fitbit's year of machine learning - The Signal
Hulya Emir-Farinas
Fitbit: Will Machine Learning Help Fitbit Change Consumer Health and Regain Leadership in Tech Wearables? - Technology and Operations Management
RPubs - Practical Machine Learning Project
Comparison chart between the machine learning predictor (using Fitbit... | Download Scientific Diagram
GitHub - quaesito/ml-fitbit: A thorough analysis of opensource Fitbit data is performed. The key findings are highlighted and discussed. The analysis provided herein is performed using 940 data points collected from 33